Internet Engineering Task Force (IETF) M. Ersue, Ed.Internet-DraftRequest for Comments: 7548 Nokia NetworksIntended status:Category: Informational D. RomascanuExpires: September 2, 2015ISSN: 2070-1721 Avaya J. Schoenwaelder A. Sehgal Jacobs University BremenMarch 1,May 2015 Management of Networks with Constrained Devices: Use Casesdraft-ietf-opsawg-coman-use-cases-05Abstract This document discusses use cases concerning the management ofnetworks, wherenetworks in which constrained devices are involved. A problem statement, deploymentoptionsoptions, and the requirements on the networks with constrained devices can be found in the companion document on "Management of Networks with Constrained Devices: Problem Statement andRequirements".Requirements" (RFC 7547). Status of This Memo ThisInternet-Draftdocument issubmitted in full conformance with the provisions of BCP 78 and BCP 79. Internet-Drafts are working documentsnot an Internet Standards Track specification; it is published for informational purposes. This document is a product of the Internet Engineering Task Force (IETF).Note that other groups may also distribute working documents as Internet-Drafts. The listIt represents the consensus ofcurrent Internet- Drafts is at http://datatracker.ietf.org/drafts/current/. Internet-Drafts are draft documents validthe IETF community. It has received public review and has been approved for publication by the Internet Engineering Steering Group (IESG). Not all documents approved by the IESG are amaximumcandidate for any level of Internet Standard; see Section 2 of RFC 5741. Information about the current status ofsix monthsthis document, any errata, and how to provide feedback on it may beupdated, replaced, or obsoleted by other documentsobtained atany time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress." This Internet-Draft will expire on September 2, 2015.http://www.rfc-editor.org/info/rfc7548. Copyright Notice Copyright (c) 2015 IETF Trust and the persons identified as the document authors. All rights reserved. This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License. Table of Contents 1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . 3....................................................3 2. Access Technologies. . . . . . . . . . . . . . . . . . . . . 4.............................................4 2.1. Constrained Access Technologies. . . . . . . . . . . . . 4............................4 2.2. Cellular Access Technologies. . . . . . . . . . . . . . 5...............................5 3. DeviceLifecycle . . . . . . . . . . . . . . . . . . . . . . 6Life Cycle ...............................................6 3.1. Manufacturing and Initial Testing. . . . . . . . . . . . 6..........................6 3.2. Installation and Configuration. . . . . . . . . . . . . 6.............................6 3.3. Operation and Maintenance. . . . . . . . . . . . . . . . 7..................................7 3.4. Recommissioning and Decommissioning. . . . . . . . . . . 7........................7 4. Use Cases. . . . . . . . . . . . . . . . . . . . . . . . . . 8.......................................................8 4.1. Environmental Monitoring. . . . . . . . . . . . . . . . 8...................................8 4.2. Infrastructure Monitoring. . . . . . . . . . . . . . . . 9..................................9 4.3. Industrial Applications. . . . . . . . . . . . . . . . . 10...................................10 4.4. Energy Management. . . . . . . . . . . . . . . . . . . . 12.........................................12 4.5. Medical Applications. . . . . . . . . . . . . . . . . . 14......................................14 4.6. Building Automation. . . . . . . . . . . . . . . . . . . 15.......................................15 4.7. Home Automation. . . . . . . . . . . . . . . . . . . . . 17...........................................17 4.8. Transport Applications. . . . . . . . . . . . . . . . . 18....................................18 4.9. Community Network Applications. . . . . . . . . . . . . 20............................20 4.10. Field Operations. . . . . . . . . . . . . . . . . . . . 22.........................................22 5.IANA Considerations . . . . . . . . . . . . . . . . . . . . . 23 6.Security Considerations. . . . . . . . . . . . . . . . . . . 24 7. Contributors . . . . . . . . . . . . . . . . . . . . . . . . 24 8. Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . 24 9.........................................23 6. Informative References. . . . . . . . . . . . . . . . . . . 24 Appendix A. Change Log . . . . . . . . . . . . . . . . . . . . . 25 A.1. draft-ietf-opsawg-coman-use-cases-04 - draft-ietf-opsawg- coman-use-cases-05 . . . . . . . . . . . . . . . . . . . 25 A.2. draft-ietf-opsawg-coman-use-cases-03 - draft-ietf-opsawg- coman-use-cases-04 . . . . . . . . . . . . . . . . . . . 26 A.3. draft-ietf-opsawg-coman-use-cases-02 - draft-ietf-opsawg- coman-use-cases-03 . . . . . . . . . . . . . . . . . . . 26 A.4. draft-ietf-opsawg-coman-use-cases-01 - draft-ietf-opsawg- coman-use-cases-02 . . . . . . . . . . . . . . . . . . . 26 A.5. draft-ietf-opsawg-coman-use-cases-00 - draft-ietf-opsawg- coman-use-cases-01 . . . . . . . . . . . . . . . . . . . 28 A.6. draft-ersue-constrained-mgmt-03 - draft-ersue-opsawg- coman-use-cases-00 . . . . . . . . . . . . . . . . . . . 28 A.7. draft-ersue-constrained-mgmt-02-03 . . . . . . . . . . . 28 A.8. draft-ersue-constrained-mgmt-01-02 . . . . . . . . . . . 29 A.9. draft-ersue-constrained-mgmt-00-01 . . . . . . . . . . . 30.........................................24 Acknowledgments ...................................................25 Contributors ......................................................26 Authors' Addresses. . . . . . . . . . . . . . . . . . . . . . . 30................................................26 1. IntroductionSmallConstrained devices (also known as sensors, smart objects, or smart devices) with limited CPU, memory, and powerresources, so called constrained devices (aka. sensor, smart object, or smart device)resources can be connected to a network. Such a network of constrained devices itself may be constrained or challenged, e.g., with unreliable or lossy channels, wireless technologies with limited bandwidth and a dynamic topology, needing the service of a gateway or proxy to connect to the Internet. In other scenarios, the constrained devices can be connected to anon-constrainedunconstrained network using off-the-shelf protocol stacks. Constrained devices might be in charge of gathering information in diverse settings including natural ecosystems, buildings, and factories andsendsending the information to one or more server stations. Network management is characterized by monitoring network status, detectingfaults, andfaults (and inferring theircauses,causes), setting network parameters, and carrying out actions to remove faults, maintain normal operation, and improve network efficiency and application performance. The traditional network management application periodically collects information from a set ofelements that are needed to manage,managed network elements, it processes the collected data, and it presentsthemthe results to the network management users. Constrained devices, however, often have limited power, have low transmission range, and might be unreliable. Such unreliability might arise from device itself (e.g., battery exhausted) or from the channel being constrained (i.e., low-capacity and high-latency). They might also need to work in hostile environments with advanced security requirements or need to be used in harsh environments for a long time without supervision. Due to such constraints, the management of a network with constrained devices offers differenttypetypes of challenges compared to the management of a traditional IP network. This document aims to understand use cases for the management of anetwork, wherenetwork in which constrained devices are involved.The documentIt lists and discusses diverse use cases forthemanagement from the network as well as from the application point of view. The list of discussed use cases is not an exhaustive one since other scenarios, currently unknown to the authors, are possible. The application scenarios discussed aim to show where networks of constrained devices are expected to be deployed. For each application scenario, we first briefly describe the characteristics followed by a discussion on how network management can be provided, who is likely going to be responsible for it, and on which time-scale management operations are likely to be carried out. A problem statement, deployment and management topology options as well as the requirements on the networks with constrained devices can be found in the companion document[COM-REQ].[RFC7547]. This documents builds on the terminology defined in [RFC7228] and[COM-REQ].[RFC7547]. [RFC7228] is a base document for the terminology concerning constrained devices and constrained networks. Some use cases specific to IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs) can be found in [RFC6568]. 2. Access Technologies Besides the management requirements imposed by the different use cases, the access technologies used by constrained devices can impose restrictions and requirements upon the Network Management System (NMS) and protocol of choice. It is possible that some networks of constrained devices might utilize traditionalnon-constrainedunconstrained access technologies for network access, e.g., local area networks with plenty of capacity. In such scenarios, the constrainedness of the device presents special management restrictions and requirements rather than the access technology utilized. However, in othersituationssituations, constrained or cellular access technologies might be used for network access, thereby causing management restrictions and requirements to arise as a result of the underlying access technologies. A discussion regarding the impact of cellular and constrained access technologies is provided in this section since they impose some special requirements on the management of constrained networks. On the other hand,fixed linefixed-line networks (e.g.,power linepower-line communications) are not discussed here since tend to be quite static and do not typically impose any special requirements on the management of the network. 2.1. Constrained Access Technologies Due to resource restrictions, embedded devices deployed as sensors and actuators in the various use cases utilizelow-power low data-low-power, low-data- rate wireless access technologies such asIEEE 802.15.4, DECT ULE[IEEE802.15.4], Digital Enhanced Cordless Telecommunication (DECT) Ultra Low Energy (ULE), or Bluetooth Low-Energy (BT-LE) for network connectivity. In such scenarios, it is important for the NMS to be aware of the restrictions imposed by these access technologies to efficiently manage these constrained devices. Specifically, suchlow-power lowlow-power, low- data-rate access technologies typically have small frame sizes. So it would be important for the NMS and management protocol of choice to craft packets in a way that avoids fragmentation and reassembly of packets since this can use valuable memory on constrained devices. Devices using such access technologies might operate via a gateway that translates between these access technologies and more traditional Internet protocols. A hierarchical approach to device management in such a situation might be useful, wherein the gateway device is in-charge of devices connected to it, while the NMS conducts management operations only to the gateway. 2.2. Cellular Access TechnologiesMachine to machineMachine-to-machine (M2M) services are increasingly provided by mobile service providers as numerous devices, home appliances, utility meters, cars, video surveillance cameras, and healthmonitors,monitors are connected with mobile broadband technologies. Different applications, e.g., in a home appliance or in-car network, use Bluetooth,Wi-FiWi-Fi, or ZigBee locally and connect to a cellular module acting as a gateway between the constrained environment and the mobile cellular network. Such a gateway might provide different options for the connectivity of mobile networks and constrained devices: o asmart phonesmartphone with 3G/4G and WLAN radio might use BT-LE to connect to the devices in a home area network, o a femtocell might be combined with home gateway functionality acting as a low-power cellular base station connecting smart devices to the application server of a mobile service provider, o an embedded cellular module with LTE radio connecting the devices in the car network with the server running the telematics service, o an M2M gateway connected to the mobile operator network supporting diverseIoTInternet of Things (IoT) connectivity technologies including ZigBee andCoAPConstrained Application Protocol (CoAP) over 6LoWPAN over IEEE 802.15.4. Common to all scenarios above is that they are embedded in a service and connected to a network provided by a mobile service provider.UsuallyUsually, there is a hierarchical deployment and management topology in place where different parts of the network are managed by different management entities and the count of devices to manage is high(e.g.(e.g., many thousands). In general, the network is comprisedbyof manifoldtypetypes andsizesizes of devices matching to different device classes. As such, the managing entity needs to be prepared to manage devices with diverse capabilities using different communication or management protocols. In the case in which the devices are directly connected to agatewaygateway, they most likely are managed by a management entity integrated with the gateway, which itself is part of theNetwork Management System (NMS)NMS run by the mobile operator.Smart phonesSmartphones or embedded modules connected to a gateway mightbethemselves be in chargeto manageof managing the devices on their level. The initial and subsequent configuration of such a device is mainly based on self-configuration and is triggered by the device itself. The gateway might be in charge of filtering and aggregating the data received from the device as the information sent by the device might be mostly redundant. 3. DeviceLifecycleLife Cycle Since constrained devices deployed in a network might go through multiple phases in their lifetime, it is possible for different managers of networks and/or devices to exist during different parts of the device lifetimes. An in-depth discussion regarding the possible devicelifecycleslife cycles can be found in [IOT-SEC]. 3.1. Manufacturing and Initial Testing Typically, thelifecyclelife cycle of a device begins at the manufacturing stage. During thisphasephase, the manufacturer of the device is responsible for the management and configuration of the devices. It is also possible that a certain use case might utilize multiple types of constrained devices (e.g., temperature sensors, lighting controllers, etc.) and these could be manufactured by different entities. As such, during the manufacturingstagestage, different managers can exist for different devices. Similarly, during the initial testing phase, where devicequality assurancequality-assurance tasks might be performed, the manufacturer remains responsible for the management of devices and networks that might comprise them. 3.2. Installation and Configuration The responsibility of managing the devices must be transferred to the installer during the installation phase. There must exist procedures for transferring management responsibility between the manufacturer and installer. The installer may be the customer or an intermediary contracted tosetupset up the devices and their networks. It is important that the NMS that is utilized allows devices originating at different vendors to be managed, ensuring interoperability between them and the configuration of trust relationships between them as well. It is possible that the installation and configuration responsibilities might lie with different entities. For example, the installer of a device might only be responsible for cabling a network, physically installing thedevicesdevices, and ensuring initial network connectivity between them (e.g., configuring IP addresses). Following such an installation, the customer or asub-contractorsubcontractor might actually configure the operation of the device. As such, during installation and configuration multiple parties might be responsible for managing a device and appropriate methods must be available to ensure that this management responsibility is transferred suitably. 3.3. Operation and Maintenance At the outset of the operation phase, the operational responsibility of a device and network should be passed on to the customer. It is possible that the customer, however, might contract the maintenance of the devices and network to asub-contractor.subcontractor. In this case, the NMS and management protocol should allow for configuring different levels of access to the devices. Since different maintenance vendors might be used for devices that perform different functions (e.g., HVAC, lighting,etc.)etc.), it should also be possible to restrict management access to devices based on the currently responsible manager. 3.4. Recommissioning and Decommissioning The owner of a device might choose to replace,repurposerepurpose, or even decommission it. In each of these cases, either the customer or the contracted maintenance agency must ensure that appropriate steps are taken to meet the end goal. In case the devices needs to be replaced, the manager of the network (customer or contractor responsible) must detach the device from the network, remove all appropriateconfigurationconfiguration, and discard the device. A new device must then be configured to replace it. The NMS should allow for the transferring of the configurationfromand replacing an existing device. The management responsibility of theoperation/maintenanceoperation/ maintenance manager would end once the device is removed from the network. During the installation of the new replacement device, the same responsibilities would apply as those during the Installation and Configuration phases. The device being replaced may not have yet reached end-of-life, and as such, instead of beingdiscardeddiscarded, it may be installed in a new location. In this case, the management responsibilities are once again resting in the hands of the entities responsible for the Installation and Configuration phases at the new location. If a device is repurposed, then it is possible that the management responsibility for this device changes as well. For example, a device might be moved from one building to another. In this case, the managers responsible for devices and networks in each building could be different. As such, the NMS must not only allow for changing configuration but also the transferring of management responsibilities. In case a device is decommissioned, the management responsibility typically ends at that point. 4. Use Cases 4.1. Environmental Monitoring Environmental monitoring applications are characterized by the deployment of a number of sensors to monitor emissions, water quality, or even the movements and habits of wildlife. Other applications in this category include earthquake or tsunami early- warning systems. The sensors often span a large geographicarea,area; they can bemobile,mobile; and they are often difficult to replace. Furthermore, the sensors are usually not protected against tampering. Management ofenvironmental monitoringenvironmental-monitoring applications is largely concerned withthemonitoring whether the system is still functional and theroll-outroll out of new constrained devices in case the systemloosesloses too much of its structure. The constrained devices themselves need to be able to establish connectivity(auto-configuration)(autoconfiguration), and they need to be able to deal with events such asloosinglosing neighbors or being moved to other locations. Management responsibility typically rests with the organization running theenvironmental monitoringenvironmental-monitoring application. Since these monitoring applications must be designed to tolerate a number of failures, the time scale for detecting and recording failuresisis, for some of theseapplicationsapplications, likely measured in hours and repairs might easily take days. In fact, in some scenarios it might be more cost- and time-effectivetonot to repair such devices at all. However, for certain environmental monitoring applications, much tighter time scales may exist and might be enforced by regulations (e.g., monitoring of nuclear radiation). Since many applications ofenvironmental monitoringenvironmental-monitoring sensors are likely to be in areas that are important to safety (flood monitoring, nuclear radiation monitoring,etc.)etc.), it is important for management protocols andnetwork management systems (NMS)NMSs to ensure appropriate security protections. These protections include not only access control,integrityintegrity, and availability of data, but also provide appropriate mechanisms that can deal with situations that might be categorized as emergencies or when tampering with sensors/data might be detected. 4.2. Infrastructure Monitoring Infrastructure monitoring is concerned with the monitoring of infrastructures such as bridges, railway tracks, or (offshore) windmills. The primary goal is usually to detect any events or changes of the structural conditions that can impact the risk and safety of the infrastructure being monitored. Another secondary goal is to schedule repair and maintenance activities in acost effectivecost-effective manner. The infrastructure to monitor might be in a factory or spread over a wider areabut(but difficult toaccess.access). As such, the network in use might be based on a combination of fixed and wireless technologies, which use robust networking equipment and support reliable communication viaapplication layerapplication-layer transactions. It is likely that constrained devices in such a network are mainly C2 devices [RFC7228] and have to be controlled centrally by an application running on a server. In case such a distributed network is widely spread, the wireless devices might use diverse long-distance wireless technologies such asWiMAX,Worldwide Interoperability for Microwave Access (WiMAX) or 3G/LTE. In cases, where anin- buildingin-building network is involved, the network can be based on Ethernet or wireless technologies suitable for in-buildingusage.use. The management of infrastructure monitoring applications is primarily concerned with the monitoring of the functioning of the system. Infrastructure monitoring devices are typically rolled out and installed by dedicatedexpertsexperts, andchangesupdates are rare since the infrastructure itselfchanges rarely.does not change often. However, monitoring devices are often deployed in unsupervisedenvironments and henceenvironments; hence, special attention must be given to protecting the devices from being modified. Management responsibility typically rests with the organization owning the infrastructure or responsible for its operation. The time scale for detecting and recording failures is likely measured in hours and repairs might easily take days. However, certain events (e.g., natural disasters) may require that status information be obtained much more quickly and that replacements of failed sensors can be rolled out quickly (or redundant sensors are activated quickly). In case the devices are difficult to access, a self- healing feature on the device might become necessary. Since infrastructure monitoring is closely related to ensuring safety, management protocols and systems must provide appropriate security protections to ensure confidentiality,integrityintegrity, and availability of data. 4.3. Industrial Applications Industrial Applications and smart manufacturing refer to tasks such as networked control and monitoring of manufacturing equipment, asset and situation management, or manufacturing process control. For the management of afactoryfactory, it is becoming essential to implement smart capabilities. From an engineering standpoint, industrial applications are intelligent systems enabling rapid manufacturing of new products, dynamic response to product demands, and real-time optimization of manufacturing production andsupply chainsupply-chain networks. Potential industrial applications (e.g., for smart factories and smart manufacturing) are: o Digital control systems with embedded, automated processcontrols,controls; operatortools, as well astools; and service information systems optimizing plant operations and safety. o Asset management using predictive maintenance tools, statistical evaluation, and measurements maximizing plant reliability. o Smart sensors detecting anomalies to avoid abnormal or catastrophic events. o Smart systems integrated within the industrialenergy managementenergy-management system and externally with the smart grid enabling real-time energy optimization. Management of Industrial Applications and smart manufacturingmaymay, in somesituationssituations, involve Building Automation tasks such as control of energy,HVAC (heating, ventilation, and air conditioning),HVAC, lighting, or access control. Interacting with management systems from other application areas might be important in some cases (e.g., environmental monitoring for electric energy production, energy management for dynamically scaling manufacturing, vehicular networks for mobile asset tracking). Management of constrained devices and networks may not only refer to the management of their network connectivity. Since the capabilities of constrained devices are limited, it is quite possible that a management system would even be required to configure,monitormonitor, and operate the primary functionsthatfor which a constrained device isutilized for,utilized, besides managing its network connectivity. Sensor networks are an essential technology used for smart manufacturing. Measurements, automated controls, plant optimization, health and safety management, and other functions are provided by a large number of networked sectors. Data interoperability and seamless exchange of product, process, and project data are enabled through interoperable data systems used by collaborating divisions or business systems. Intelligent automation and learning systems are vital to smartmanufacturingmanufacturing, but they must be effectively integrated with the decision environment. The NMS utilized must ensure timely delivery of sensor data to the control unit so it may take appropriate decisions. Similarly, the relaying of commands must also be monitored and managed to ensure optimal functioning. Wireless sensor networks(WSN)(WSNs) have been developed for machineryCondition-basedCondition- based Maintenance (CBM) as they offer significant cost savings and enable new functionalities. Inaccessible locations, rotating machinery, hazardous areas, and mobile assets can be reached with wireless sensors. Today, WSNs can providetodaywireless link reliability, real-time capabilities, and quality-of-service and they can enable industrial and related wireless sense and control applications. Management of industrial and factory applications is largely focused on monitoring whether the system is still functional, real-time continuous performance monitoring, and optimization as necessary. The factory network might be part of a campus network or connected to the Internet. The constrained devices in such a network need to be able to establish configuration themselves(auto-configuration)(autoconfiguration) and might need to deal with error conditions as much as possible locally. Access control has to be provided with multi-level administrative access and security. Support and diagnostics can be provided through remote monitoring access centralized outside of the factory.Factory automationFactory-automation tasks require that continuous monitoring be used to optimize production. Groups of manufacturing and monitoring devices could be defined to establish relationships between them. To ensure timely optimization of processes, commands from the NMS must arrive at all destination within an appropriate duration. This duration could change based on the manufacturing task being performed. Installation and operation of factory networks have different requirements. During the installationphasephase, many networks, usually distributed along different parts of thefactory/assemblyfactory/ assembly line,co-existcoexist without a connection to a common backbone. A specialized installation tool is typically used to configure the functions of different types of devices, in different factorylocation,locations, in a secure manner. At the end of the installation phase, interoperability between these stand-alone networks and devices must be enabled. During the operation phase, these stand-alone networks are connected to a common backbone so that they may retrieve control information from and send commands to appropriate devices. Management responsibility is typically owned by the organization running the industrial application. Since the monitoring applications must handle a potentially large number of failures, the time scale for detecting and recording failuresisis, for some of theseapplicationsapplications, likely measured in minutes. However, for certain industrial applications, much tighter time scales may exist,e.g.e.g., in real-time, which might be enforced by the manufacturing process or the use of critical material. Management protocols and NMSs must ensure appropriate access control since different users of industrial control systems will have varying levels of permissions.E.g.,For example, while supervisors might be allowed to change production parameters, they should not be allowed to modify the functional configuration of devices like a technician should. It is also important to ensure integrity and availability of data since malfunctions can potentially become safety issues. This also implies that management systems must be able to react to situations that may pose dangers to worker safety. 4.4. Energy Management The EMAN working group developed anenergy managementenergy-management framework [RFC7326] for devices and device components within or connected to communication networks. This document observes that one of the challenges of energy management is that a power distribution network is responsible for the supply of energy to various devices and components, while a separate communication network is typically used to monitor and control the power distribution network. Devices in the context of energy management can be monitored for parameters like power, energy, demand and power quality. If a device contains batteries, they can be also monitored and managed. Energy devices differ in complexity and may include basic sensors or switches, specialized electrical meters, or power distribution units (PDU), and subsystems inside the network devices (routers, network switches) or home or industrial appliances. The operators of anEnergy Management Systemenergy-management system are either the utility providers or customers that aim to control and reduce the energy consumption and the associated costs. The topology in use differs and the deployment can cover areas from small surfaces (individual homes) to large geographical areas. The EMAN requirements document [RFC6988] discusses the requirements for energy management concerning monitoring and control functions. It is assumed that energy management will apply to a large range of devices of all classes and networks topologies. Specific resourcemonitoringmonitoring, like battery utilization andavailabilityavailability, may be specific to devices with lower physical resources (device classes C0 or C1 [RFC7228]). Energy management is especially relevant to the Smart Grid. A Smart Grid is an electrical grid that uses data networks to gather andtoact on energy and power-related information in an automated fashion with the goal to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. Smart Metering is a good example ofSmart Gridan energy-management application basedenergy management applications.on Smart Grid. Different types of possibly wireless small metersproduceall together produce a large amount of data, which is collected by a central entity and processed by an application server, which may be located within the customer's residence oroff-siteoff site in adata-center.data center. The communication infrastructure can be provided by a mobile network operator as the meters in urban areas willhavemost likely have a cellular or WiMAX radio. In case the application server is located within the residence, such meters are more likely to useWi- FiWi-Fi protocols to interconnect with an existing network. An Advanced Metering Infrastructure (AMI) network is another example of the Smart Grid that enables an electric utility to retrieve frequent electric usage data from each electric meter installed at a customer's home or business. Unlike Smart Metering, in which case the customer or their agents installappliance levelappliance-level meters, an AMIinfrastructureis typically managed by the utility providers and could also include other distribution automation devices like transformers and reclosers. Meters in AMI networks typically contain constrained devices that connect to mesh networks with alow- bandwidthlow-bandwidth radio. Usage data and outage notifications can be sent by these meters to the utility's headend systems, via aggregation points of higher-end router devices that bridge the constrained network to a less constrained network via cellular, WiMAX, or Ethernet. Unlike meters, these higher-end devices might be installed on utility poles owned and operated by a separate entity. It thereby becomes important for a management applicationtonot only to be able to work with diverse types of devices, but also to work over multiple links that might be operated and managed by separate entities, each having divergent policies for their own devices and network segments. During management operations, like firmware updates, it is important that the managementsystem performssystems perform robustly in order to avoid accidental outages of critical power systems that could be part of AMI networks. In fact, since AMI networks must also report on outages, the management system might have to manage the energy properties ofbattery operatedbattery-operated AMI devices themselves as well. A management system forhome basedhome-based Smart Metering solutions is likely to have devices laid out in a simple topology. However, AMInetworksnetwork installations could have thousands of nodes per router, i.e., higher- end device, which organize themselves in anad-hocad hoc manner. As such, a management system for AMI networks will need to discover and operate over complex topologies as well. In some situations, it is possible that the management system might also have tosetupset up and manage the topology of nodes, especially critical routers.Encryption keyEncryption-key management and sharing in both types of networksisare also likely to be important for providing confidentiality for all data traffic. In AMInetworksnetworks, the key may be obtained by a meter only after an end-to-end authentication process based on certificates. The Smart Metering solution could adopt a similar approach or the security may be implied due to the encrypted Wi-Fi networks they become part of. The management of such a network requires end-to-end management of and information exchange through different types of networks. However, as oftodaytoday, there is no integratedenergy managementenergy-management approach and no common information model available. Specificenergyenergy- management applications or network islands use their own management mechanisms. 4.5. Medical Applications Constrained devices can be seen as an enabling technology for advanced and possibly remotehealth monitoringhealth-monitoring andemergencyemergency- notification systems, ranging from monitors for blood pressure and heart ratemonitorsto advanced devices capable of monitoring implanted technologies, such as pacemakers or advanced hearing aids. Medical sensors may not only be attached to human bodies, they might also exist in the infrastructure used by humans such as bathrooms or kitchens. Medical applications will also be used to ensure treatments are being appliedproperlyproperly, and they might guide people losing orientation. Fitness and wellness applications, such as connected scales or wearable heart monitors, encourage consumers to exercise and empower self-monitoring of key fitness indicators. Different applications use Bluetooth,Wi-FiWi-Fi, or ZigBee connections to access the patient's smartphone or home cellular connection to access the Internet. Constrained devices that are part of medical applications are managed either by the users of those devices or by an organization providing medical (monitoring) services for physicians. In the first case, management must be automatic and/or easy to install andsetupset up byaverage people.laypeople. In the second case, it can be expected that devices will be controlled by specially trained people. In both cases, however, it is crucial to protect the safety and privacy of the peopleto whichwho use medicaldevices are attached.devices. Security precautions to protect access (authentication, encryption, integrity protections, etc.) to such devices may be critical to safeguarding the individual. The level of access granted to different users also may need to be regulated. For example, an authorized surgeon or doctor must be allowed to configure all necessary options on thedevices,devices; however, a nurse or technician may only be allowed to retrieve data that can assist in diagnosis. Even though the data collected by a heartbeatmonitor might be protected, the pure fact that someone carries such a device may need protection. As such, certain medical appliances may not want to participate in discovery and self-configuration protocols in order to remain invisible. Many medical devices are likely to be used (and relied upon) to provide data to physicians in critical situationssincein which thebiggest market is likely elderly and handicapped people.patient might not be able to report such data themselves. Timely delivery of data can be quite important in certain applications likepatient mobilitypatient-mobility monitoring inold-agenursing homes. Data must reach the physician and/or emergency services within specified limits of time in order to be useful. As such, fault detection of the communication network or the constrained devices becomes a crucial function of the management system that must be carried out with high reliability and, depending on the medical appliance and its application, within seconds. 4.6. Building Automation Building automation comprises the distributed systems designed and deployed to monitor and control the mechanical,electricalelectrical, and electronic systems inside buildings with various destinations (e.g., public and private, industrial, institutions, or residential). Advanced Building Automation Systems(BAS)(BASs) may be deployed concentrating the various functions of safety, environmental control, occupancy,security. Moreandmoresecurity. Increasingly, the deployment of the various functional systems is connected to the same communication infrastructure (possiblyInternet Protocol based),IP-based), which may involve wired or wirelesscommunicationscommunication networks inside the building. Building automation requires the deployment of a large number(10-100.000)(10 to 100,000) of sensors that monitor the status of devices,andparameters inside thebuildingbuilding, and controllers with different specialized functionality for areas within the building or the totality of the building. Inter-node distances between neighboring nodes varybetweenfrom 1 to 20 meters. The NMS must, as a result, be able to manage and monitor a large number of devices, which may be organized inmulti-hopmulti- hop meshed networks. Distances between the nodes, and the use of constrained protocols, means that networks of nodes might be segmented. The management of such network segments and nodes in these segments should be possible. Contrary to home automation, in building management the devices are expected to be managed assets and known to a set of commissioning tools and a data storage, such that every connected device has a known origin. This requires the management system to be able to discover devices on the network and ensure that the expected list of devices is currently matched. Management here includes verifying the presence of the expected devices and detecting the presence of unwanted devices. Examples of functions performed by controllers in building automation are regulating the quality, humidity, and temperature of the air inside the buildingandas well as regulating the lighting. Other systems may report the status of the machinery inside the building likeelevators,elevators or inside the rooms like projectors in meeting rooms. Security cameras and sensors may be deployed and operated on separate dedicated infrastructures connected to the common backbone. The deployment area of a BAS is typically inside one building (or part of it) or several buildings geographically grouped in a campus. A building network can be composed of network segments, where a network segment covers a floor, an area on the floor, or a given functionality (e.g., security cameras). It is possible that the management tasks of different types of some devices might be separated from others (e.g, security cameras might operate and be managed via aseparatenetworktoseparate from that of the HVAC in a building). Some of the sensors inBuilding Automation SystemsBASs (forexampleexample, fire alarms or security systems) register,recordrecord, and transfer critical alarminformation and thereforeinformation; therefore, they must be resilient to events like loss of power or security attacks. A management system must be able to deal with unintentional segmentation of networks due to power loss or channel unavailability. It must also be able to detect security events. Due to specific operating conditions required from certain devices, there might be a need to certify components and subsystems operating in such constrained conditions based on specific requirements.AlsoAlso, in some environments, the malfunctioning of a control system (like temperature control) needs to be reported in the shortest possible time. Complex control systems can misbehave, and their critical status reporting and safety algorithms need to be basic and robust and perform even in critical conditions. Providing this monitoring, configuration and notification service is an important task of the management system used in building automation.BuildingIn some cases, building automation solutions are deployed insome cases innewly designedbuildings,buildings; in othercasescases, it might be over existing infrastructures. In the first case, there is a broader range of possible solutions, which can be planned for the infrastructure of the building. In the secondcasecase, the solution needs to be deployed over an existing infrastructure taking into account factors like existing wiring, distance limitations, and the propagation of radio signals over walls and floors, thereby making deployment difficult. As a result, some of the existing WLAN solutions (e.g.,IEEE 802.11[IEEE802.11] orIEEE 802.15)[IEEE802.15]) may be deployed. In mission-critical orsecuritysecurity- sensitive environments and in cases where link failures happen often, topologies that allow for reconfiguration of the network and connection continuity may be required. Some of the sensors deployed in building automation may be very simple constrained devices for which C0 or C1 [RFC7228] may be assumed. For lighting applications, groups of lights must be defined and managed. Commands to a group of light must arrive within 200 ms at all destinations. The installation and operation of a building network has different requirements. During the installation, many stand-alone networks of a few to 100 nodesco-existcoexist without a connection to the backbone. During this phase, the nodes are identified with a network identifier related to their physical location. Devices are accessed from an installation tool to connect them to the network in a secure fashion. During installation, the setting of parameters of common values to enable interoperability may be required. During operation, the networks are connected to the backbone while maintaining the network identifier to physical location relation. Network parameters like address and name are stored in the DNS. The names can assist in determining the physical location of the device. It is also important for a building automation NMS to take safety and security into account. Ensuring privacy and confidentiality of data, such that unauthorized parties do not get access to it, is likely to be important since users' individual behaviors could be potentially understood via their settings. Appropriate security considerations for authorization and access control to the NMS is also important since different users are likely to have varied levels of operational permissions in the system.E.g.,For example, while end users should be able to control lighting systems,HVACs,HVAC systems, etc., only qualified technicians should be able to configure parameters that change the fundamental operation of a device. It is also important for devices and the NMS to be able to detect and report any tampering they mightdetect,find, since these could lead to potential user safety concerns, e.g., if sensors controlling air quality are tampered with such that the levels ofCarbon Monoxidecarbon monoxide become life threatening. This implies thataan NMS should also be able to deal with and appropriately prioritize situations that might potentially lead to safety concerns. 4.7. Home Automation Home automation includes the control of lighting, heating, ventilation, air conditioning, appliances, entertainment and home security devices to improve convenience, comfort, energy efficiency, and safety. It can be seen as a residential extension of building automation. However, unlike abuilding automation system,BAS, the infrastructure in a home is operated in a considerably moread-hocad hoc manner. While in some installations it is likely that there is no centralized managementsystem,system akin to aBuilding Automation System (BAS),BAS available, in other situations outsourced andcloud basedcloud-based systems responsible for managing devices in the home might be used.Home automationHome-automation networks need a certain amount of configuration (associating switches or sensors to actuators) that is either provided by electricians deployinghome automationhome-automation solutions, bythird party home automationthird-party home-automation service providers (e.g., small specialized companies orhome automationhome-automation device manufacturers) or by residents by using the application user interface provided byhomehome- automation devices to configure (parts of) thehome automationhome-automation solution. Similarly, failures may be reported via suitable interfaces to residents or they might be recorded and made available to services providers in charge of the maintenance of thehomehome- automation infrastructure. The management responsibilitylieseither lies with the residents orit may beis outsourced to electricians and/or third parties providing management ofhome automationhome-automation solutions as a service. A varying combination of electricians, serviceprovidersproviders, or the residents may be responsible for different aspects of managing the infrastructure. The time scale for failure detection and resolutionisis, in manycasescases, likely counted in hours to days. 4.8. Transport ApplicationsTransport application"Transport application" is a generic term for the integrated application of communications, control, and information processing in a transportation system.Transport telematics or vehicle telematics"Transport telematics" and "vehicle telematics" are both used asa termterms for the group of technologies that support transportation systems. Transport applications running on such a transportation system cover all modes of the transport and consider all elements of the transportation system, i.e. the vehicle, the infrastructure, and the driver or user, interacting together dynamically. Examples for transport applications areinterinter- andintra vehicularintra-vehicular communication, smart traffic control, smart parking, electronictoll collectiontoll-collection systems, logistic and fleet management, vehicle control, and safety androadroadside assistance. As a distributed system, transport applications require an end-to-end management of different types of networks. It is likely that constrained devices in a network(e.g.(e.g., a moving in-car network) have to be controlled by an application running on an application server in the network of a service provider. Such a highly distributed network including cellular devices on vehicles is assumed to include a wireless access network using diverselong distancelong-distance wireless technologies such as WiMAX,3G/LTE3G/LTE, or satellite communication,e.g.e.g., based on an embedded hardware module. As a result, the management of constrained devices in the transport system might be necessary to plan top-down and might need to use data models obliged from and defined on the application layer. The assumed device classes in use are mainly C2 [RFC7228] devices. In cases, where an in-vehicle network is involved, C1 devices [RFC7228] with limited capabilities and a short-distance constrained radio network,e.g.e.g., IEEE 802.15.4 might be used additionally. All Transport Applications will require an IT infrastructure to run on top of, e.g., inpublic transportpublic-transport scenarios like trains,busbuses, or metronetworknetworks infrastructure might be provided,maintainedmaintained, and operated by third parties likemobile networkmobile-network orsatellite networksatellite-network operators. However, the management responsibility of the transport application typically rests within the organization running the transport application (in thepublic transportpublic-transport scenario, this would typically be thepublic transportpublic-transport operator). Different aspects of the infrastructure might also be managed by different entities. For example, the in-car devices are likely to be installed and managed by the manufacturer, while thepublic workslocal government or transportation authority might be responsible for the on-road vehicular communication infrastructure used by these devices. Theback-endbackend infrastructure is also likely to be maintained bythird partythird-party operators. As such, the NMS must be able to deal with different networksegments, eachsegments (each being operated and controlled by separateentities,entities) and enable appropriate access control andsecurity as well.security. Depending on the type of application domain (vehicular or stationary) and service being provided, itwould beis important for the NMS to be able to function with different architectures, since different manufacturers might have their own proprietary systems relying on a specificManagement Topology Option,management topology option, as described in[COM-REQ].[RFC7547]. Moreover, constituents of the network canbeeither be private,belongingbelong to individuals or private companies, or be owned by public institutions leading to different legal and organization requirements. Across the entire infrastructure, a variety of constrained devicesareis likely to be used, and they must be individually managed. The NMS must be able to either work directly with different types ofdevices,devices or have the ability to interoperate with multiple different systems. The challenges in the management of vehicles in amobile transportmobile-transport application are manifold. The up-to-date position of each node in the network should be reported to the corresponding management entities, since the nodes could be moving within or roaming between different networks. Secondly, a variety of troubleshooting information, including sensitive location information, needs to be reported to the management system in order to provide accurate service to the customer. Management systems dealing with mobile nodes could possibly exploit specific patterns in the mobility of the nodes. These patterns emerge due to repetitive vehicular usage in scenarios like people commuting towork, logisticswork and supply vehicles transporting shipments between warehouses, etc. The NMS must also be able to handle partitioned networks, which would arise due to the dynamic nature of traffic resulting in large inter-vehicle gaps in sparsely populated scenarios. Since mobile nodes might roam in remote networks, the NMS should be able to provide operating configuration updates regardless of node location. The constrained devices in a moving transport network might be initially configured in afactoryfactory, and a reconfiguration might be needed only rarely. New devices might be integrated in anad-hocad hoc manner based on self-management and-configurationself-configuration capabilities. Monitoring and data exchange might be necessaryto dovia a gateway entity connected to theback-endbackend transport infrastructure. The devices and entities in the transport infrastructure need to be monitored more frequently andcanmay be able to communicate with a higher data rate. The connectivity of such entities does not necessarily need to be wireless. The time scale for detecting and recording failures in a moving transport network is likely measured inhourshours, and repairs might easily take days. It is likely that a self-healing feature would be used locally. On the other hand, failures in fixedtransport applicationtransport-application infrastructure (e.g.,traffic-lights, digitaltraffic lights, digital- signage displays)isare likely to be measured in minutes so as to avoid untoward traffic incidents. As such, the NMS must be able to deal with differing timeliness requirements based on the type of devices. Since transport applications of the constrained devices and networks deal with automotive vehicles, malfunctions and misuse can potentially lead to safety concerns as well. As such, besides access control, privacy of userdatadata, andtimelinesstimeliness, management systems should also be able to detect situations that are potentially hazardous to safety. Some of these situations could be automatically mitigated, e.g., traffic lights with incorrect timing, but others might require human intervention, e.g., failed traffic lights. The management system should take appropriate actions in these situations. Maintaining data confidentiality and integrity is also an important security aspect of a management system since tampering (or malfunction) can also lead to potentially dangerous situations. 4.9. Community Network Applications Community networks are comprised of constrained routers in a multi- hop mesh topology, communicating overalossy, and oftenwirelesswireless, channels. While the routers are mostly non-mobile, the topology may be very dynamic because of fluctuations in link quality of the (wireless) channel caused by, e.g., obstacles, or other nearby radio transmissions. Depending on the routers that are used in the community network, the resources of the routers (memory, CPU) may be more or less constrained--- available resources may range from only a few kilobytes of RAM to several megabytes or more, and CPUs may be small and embedded, or more powerful general-purpose processors. Examples of such community networks are the FunkFeuer network (Vienna, Austria), FreiFunk (Berlin, Germany), Seattle Wireless (Seattle, USA), and AWMN (Athens, Greece). These community networks are public and non-regulated, allowing their users to connect to each other and--- through an uplink to an ISP--- to the Internet. No fee, other than the initial purchase of a wireless router, is charged for these services. Applications of these community networks can be diverse, e.g.,location basedlocation-based services, free Internet access, file sharing between users, distributed chat services, social networking, video sharing, etc. As an example of a community network, the FunkFeuer network comprises several hundred routers, many of which have several radio interfaces (with omnidirectional and some directed antennas). The routers of the network are small-sized wireless routers, such as the Linksys WRT54GL, available in 2011 for less than 50Euros. These routers,euros. Each router, with 16 MB of RAM and 264 MHz of CPU power,areis mounted on therooftopsrooftop ofthe users.a user. When a newusers wantuser wants to connect to the network, they acquire a wireless router, install the appropriate firmware and routing protocol, and mount the router on the rooftop. IP addresses for the router are assigned manually from a list of addresses (because of the lack ofauto-configurationautoconfiguration standards for mesh networks in the IETF). While the routers are non-mobile, fluctuations in link quality require an ad hoc routing protocol that allows for quick convergence to reflect the effective topology of the network (such asNHDPNeighborhood Discovery Protocol (NHDP) [RFC6130] andOLSRv2Optimized Link State Routing version 2 (OLSRv2) [RFC7181] developed in the MANET WG). Usually, no human interaction is required for these protocols, as all variable parameters required by the routing protocol are either negotiated in the control trafficexchange,exchange or are only of local importance to each router (i.e. do not influence interoperability). However, external management and monitoring of an ad hoc routing protocol may be desirable to optimize parameters of the routing protocol. Such an optimization may lead to a topology that is perceived to be more stableperceived topologyand to a lower control trafficoverhead, andoverhead (and therefore to a higher delivery success ratio of data packets, a lower end-to-end delay, and less unnecessary bandwidth and energyusage.use). Different use cases for the management of community networks are possible: oOneA singleNetwork Management Station, e.g.NMS, e.g., a border gateway providing connectivity to the Internet, requires managing or monitoring routers in the community network, in order to investigate problems (monitoring) or to improve performance by changing parameters (managing). As the topology of the network is dynamic, constant connectivity of each router towards the management station cannot be guaranteed. Current network management protocols, such as SNMP andNETCONF,Network Configuration Protocol (NETCONF), may be used (e.g.,usinguse of interfaces such as the NHDP-MIB [RFC6779]). However, when routers in the community network are constrained, existing protocols may require too many resources in terms of memory and CPU; and more importantly, the bandwidth requirements may exceed the available channel capacity in wireless mesh networks. Moreover, management and monitoring may be unfeasible if the connection between thenetwork management stationNMS and the routers is frequently interrupted. o Distributed network monitoring, in which more than one management station monitors or manages other routers. Because connectivity to a server cannot be guaranteed at all times, a distributed approach may provide a higher reliability, at the cost of increased complexity. Currently, no IETF standard exists for distributed monitoring and management. o Monitoring and management of a whole network or a group of routers. Monitoring the performance of a community network may require more information than what can be acquired from a single router using a network management protocol. Statistics, such as topology changes over time, data throughput along certain routing paths,congestioncongestion, etc., are of interest for a group of routers (or the routing domain) as a whole. As of 2014, no IETF standard allows for monitoring or managing wholenetworks,networks instead of single routers. 4.10. Field Operations The challenges ofconfigurationconfiguring and monitoringofnetworks operated in the field by rescue and security agencies can be different from the other use cases since the requirements and operating conditions of such networks are quite different. With technology advancements, field networks operated nowadays are becoming large and can consist ofvarietiesa variety of different types of equipment that run different protocols and tools that obviously increase complexity of these mission-critical networks. In many scenarios, configurations are, most likely, manually performed. Furthermore, some legacy and even modern devices do not even support IP networking. A majority of protocols and tools developed by vendors that are being used are proprietary, which makes integration more difficult. The main reason for this disjoint operation scenario is that most equipment is developed with specific task requirements in mind, rather than interoperability of the varied equipment types. For example, the operating conditions experienced by high altitude security equipment is significantly different from that used in desert conditions. Similarly,search and rescue operationsequipment used incase offire rescue has different requirements thanflood reliefflood-relief equipment. Furthermore,inter-operationinteroperation of equipment with telecommunication equipment was not an expected outcome orin(in somescenarios thisscenarios) may not even be desirable. Currently, field networks operate with a fixed Network Operations Center (NOC) that physically manages the configuration and evaluation of all field devices. Once configured, the devices might be deployed in fixed or mobile scenarios. Any configuration changes required would need to be appropriately encrypted and authenticated to prevent unauthorized access. Hierarchical management of devices is a common requirement in such scenarios since local managers or operators may need to respond to changing conditions within their purview. The level of configuration management available at each hierarchy must also be closely governed. Since many field operation devices are used in hostile environments, a high failure and disconnection rate should be tolerated by the NMS, which must also be able to deal with multiple gateways and disjoint management protocols. Multi-national field operations involving search,rescuerescue, and security are becoming increasingly common, requiringinter-operationinteroperation of a diverse set of equipment designed with different operating conditions in mind. Furthermore, different intra- andinter-governmentalinter- governmental agencies are likely to have a different set of standards, best practices, rules andregulation,regulations, and implementation approaches that may contradict or conflict with each other. The NMS should be able to detect these and handle them in an acceptable manner, which may require human intervention. 5.IANA Considerations This document does not introduce any new code-points or namespaces for registration with IANA. Note to RFC Editor: this section may be removed on publication as an RFC. 6.Security Considerations This document discusses use cases for management of networks with constrained devices. The security considerations described throughout the companion document[COM-REQ][RFC7547] apply here as well.7. Contributors Following persons made significant contributions to6. Informative References [RFC6130] Clausen, T., Dearlove, C., andreviewed this document: o Ulrich Herberg contributed the Section 4.9 on CommunityJ. Dean, "Mobile Ad Hoc NetworkApplications. o Peter van der Stok contributed to Section 4.6 on Building Automation. o Zhen Cao contributed to Section 2.2 Cellular Access Technologies. o Gilman Tolle contributed the Section 4.4 on Automated Metering Infrastructure. o James Nguyen(MANET) Neighborhood Discovery Protocol (NHDP)", RFC 6130, DOI 10.17487/RFC6130, April 2011, <http://www.rfc-editor.org/info/rfc6130>. [RFC6568] Kim, E., Kaspar, D., andUlrich Herberg contributed to Section 4.10 on Military operations. 8. Acknowledgments Following persons reviewed and provided valuable comments to different versions of this document: Dominique Barthel, Carsten Bormann, Zhen Cao, Benoit Claise, Bert Greevenbosch, Ulrich Herberg, Ted Lemon, Kathleen Moriarty, James Nguyen, Zach Shelby, Peter van der Stok, and Martin Thomson. The editors would like to thank the reviewers and the participants on the Coman maillist for their valuable contributions and comments. 9. Informative References [RFC6130] Clausen, T., Dearlove, C., and J. Dean, "Mobile Ad Hoc Network (MANET) Neighborhood Discovery Protocol (NHDP)", RFC 6130, April 2011. [RFC6568] Kim, E., Kaspar, D., and JP. Vasseur, "DesignJP. Vasseur, "Design and Application Spaces for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs)", RFC 6568, DOI 10.17487/RFC6568, April2012.2012, <http://www.rfc-editor.org/info/rfc6568>. [RFC6779] Herberg, U., Cole, R., and I. Chakeres, "Definition of Managed Objects for the Neighborhood Discovery Protocol", RFC 6779, DOI 10.17487/RFC6779, October2012.2012, <http://www.rfc-editor.org/info/rfc6779>. [RFC6988] Quittek, J., Ed., Chandramouli, M., Winter, R., Dietz, T., and B. Claise, "Requirements for Energy Management", RFC 6988, DOI 10.17487/RFC6988, September2013.2013, <http://www.rfc-editor.org/info/rfc6988>. [RFC7181] Clausen, T., Dearlove, C., Jacquet, P., and U. Herberg, "The Optimized Link State Routing Protocol Version 2", RFC 7181, DOI 10.17487/RFC7181, April2014.2014, <http://www.rfc-editor.org/info/rfc7181>. [RFC7228] Bormann, C., Ersue, M., and A. Keranen, "Terminology for Constrained-Node Networks", RFC 7228, DOI 10.17487/ RFC7228, May2014.2014, <http://www.rfc-editor.org/info/rfc7228>. [RFC7326] Parello, J., Claise, B., Schoening, B., and J. Quittek, "Energy Management Framework", RFC 7326, DOI 10.17487/ RFC7326, September2014. [COM-REQ]2014, <http://www.rfc-editor.org/info/rfc7326>. [RFC7547] Ersue, M., Ed., Romascanu, D.,and J.Schoenwaelder, J., and U. Herberg, "Management of Networks with Constrained Devices: Problem Statement and Requirements",draft-ietf-opsawg-coman- probstate-reqs (work in progress), February 2014.RFC 7547, May 2015, <http://www.rfc-editor.org/info/rfc7547>. [IOT-SEC] Garcia-Morchon, O., Kumar, S., Keoh, S., Hummen, R., and R. Struik, "Security Considerations in the IP-based Internet of Things",draft-garcia-core-security-06 (workWork inprogress),Progress, draft-garcia-core- security-06, September 2013.Appendix A. Change Log A.1. draft-ietf-opsawg-coman-use-cases-04 - draft-ietf-opsawg-coman- use-cases-05 o Added text regarding security[IEEE802.11] IEEE, "Part 11: Wireless LAN Medium Access Control (MAC) andsafety considerations to the Environmental Monitoring, Infrastructure Monitoring, Industrial Applications, Medical Applications, Building AutomationPhysical Layer (PHY) Specifications", IEEE Standard 802.11, March 2012, <http://standards.ieee.org/about/get/802/802.11.html>. [IEEE802.15] IEEE, "WIRELESS PERSONAL AREA NETWORKS (PANs)", IEEE Standard 802.15, 2003-2014, <https://standards.ieee.org/about/get/802/802.15.html>. [IEEE802.15.4] IEEE, "Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs)", IEEE Standard 802.15.4, September 2011, <https://standards.ieee.org/about/get/802/802.15.html>. Acknowledgments The following persons reviewed andTransport Applications section. o Adopted text as perprovided valuable commentsreceived from Kathleen Moriarty during IESG review. o Added security related text to use cases for addressing concerns raised by Ted Lemonduring theIESG review. A.2. draft-ietf-opsawg-coman-use-cases-03 - draft-ietf-opsawg-coman- use-cases-04 o Resolved Gen-ART review comments received fromcreation of this document: Dominique Barthel, Carsten Bormann, Zhen Cao, Benoit Claise, Bert Greevenbosch, Ulrich Herberg, Ted Lemon, Kathleen Moriarty, James Nguyen, Zach Shelby, Peter van der Stok, and Martin Thomson.o Deleted company name forThe authors would like to thank the reviewers and the participants on the Coman mailing list for their valuable contributions and comments. Juergen Schoenwaelder and Anuj Sehgal were partly funded by Flamingo, a Network ofcontributors. o Added Martin ThomsonExcellence project (ICT-318488) supported by the European Commission under its Seventh Framework Programme. Contributors Following persons made significant contributions toAcknowledgments section. A.3. draft-ietf-opsawg-coman-use-cases-02 - draft-ietf-opsawg-coman- use-cases-03and reviewed this document: o Ulrich Herberg contributed Section 4.9, "Community Network Applications". oUpdated referencesPeter van der Stok contributed totake into account RFCs that have now been publishedSection 4.6, "Building Automation". oAdded textZhen Cao contributed tothe access technologies section explaining why fixed line technologies (e.g., powerline communications) have not been discussed. o Created a new section, Device Lifecycle, discussing the impact of different device lifecycle stages on the management of constrained networks. o Homogenized usage of device classes to form C0, C1 and C2. o Ensured consistency in usage of Wi-Fi, ZigBee and other terminologies. o Added text clarifying the management aspects of the Building Automation and Industrial Automation use cases. o Clarified the meaning of unreliability in context of constrained devices and networks. o Added information regarding the configuration and operation of factory automation use case, based on the type of information provided in the building automation use case. o Fixed editorial issues discovered by reviewers. A.4. draft-ietf-opsawg-coman-use-cases-01 - draft-ietf-opsawg-coman- use-cases-02 o Renamed Mobile Access Technologies section to Cellular Access Technologies o Changed references to mobile access technologies to now read cellular access technologies. o Added text to the introduction to point out that the list of use cases is not exhaustive since others unknown to the authors might exist. o Updated references to take into account RFCs that have been now published. o Updated Environmental Monitoring section to make it clear that in some scenarios it may not be prudent to repair devices. o Added clarification in Infrastructure Monitoring section that reliable communication is achieved via application layer transactions o Removed reference to Energy Devices from Energy Management section, instead labeling them as devices within the context of energy management. o Reduced descriptive content in Energy Management section. o Rewrote text in Energy Management section to highlight management characteristics of Smart Meter and AMI networks. o Added text regarding timely delivery of information, and related management system characteristic, to the Medical Applications section o Changed subnets to network segment in Building Automation section. o Changed structure to infrastructure in Building Automation section, and added text to highlight associated deployment difficulties. o Removed Trickle timer as example of common values to be set in Building Automation section. o Added text regarding the possible availability of outsourced and cloud based management systems for Home Automation. o Added text to Transport Applications section to highlight the requirement of IT infrastructure for such applications to function on top of. o Merged the Transport Applications and Vehicular Networks section together. Following changes to the Vehicular Networks section were merged back into Transport Applications * Replaced wireless last hops with wireless access to vehicles in Vehicular Networks. * Expanded proprietary systems to "systems relying on a specific Management Topology Option, as described in [COM-REQ]." within Vehicular Networks section. * Added text regarding mobility patterns to Vehicular Networks. o Changed the Military Operations use case to Field Operations and edited the text to be suitable to such scenarios. A.5. draft-ietf-opsawg-coman-use-cases-00 - draft-ietf-opsawg-coman- use-cases-01 o Reordered some use cases to improve the flow. o Added "Vehicular Networks". o Shortened the Military Operations use case. o Started adding substance to the security considerations section. A.6. draft-ersue-constrained-mgmt-03 - draft-ersue-opsawg-coman-use- cases-00 o Reduced the terminology section for terminology addressed in the LWIG and Coman Requirements drafts. Referenced the other drafts. o Checked and aligned all terminology against the LWIG terminology draft. o Spent some effort to resolve the intersection between the Industrial Application, Home Automation and Building Automation use cases. o Moved section section 3. Use Cases from the companion document [COM-REQ] to this draft. o Reformulation of some text parts for more clarity. A.7. draft-ersue-constrained-mgmt-02-03 o Extended the terminology section and removed some of the terminology addressed in the new LWIG terminology draft. Referenced the LWIG terminology draft. o Moved Section 1.3. on Constrained Device Classes to the new LWIG terminology draft. o Class of networks considering the different type of radio and communication technologies in use and dimensions extended. o Extended the Problem Statement inSection2. following the requirements listed in Section 4. o Following requirements, which belong together and can be realized with similar or same kind of solutions, have been merged. * Distributed Management and Peer Configuration, * Device status monitoring and Neighbor-monitoring, * Passive Monitoring and Reactive Monitoring, * Event-driven self-management - Self-healing and Periodic self- management, * Authentication of management systems and Authentication of managed devices, * Access control on devices and2.2, "Cellular Accesscontrol on management systems, * Management of Energy Resources and Data models for energy management, * Software distribution (group-based firmware update) and Group- based provisioning. o Deleted the empty section on the gaps in network management standards, as it will be written in a separate draft. o Added links to mentioned external pages. o Added text on OMA M2M Device Classification in appendix. A.8. draft-ersue-constrained-mgmt-01-02 o Extended the terminology section. o Added additional text for the use cases concerning deployment type, network topology in use, network size, network capabilities, radio technology, etc. o Added examples for device classes in a use case. o Added additional text provided by Cao Zhen (China Mobile) for Mobile Applications and by Peter van der Stok for Building Automation. o Added the new use cases 'Advanced Metering Infrastructure' and 'MANET Concept of Operations in Military'.Technologies". oAdded the section 'Managing the Constrainedness of a Device or Network' discussing the needs of very constrained devices.Gilman Tolle contributed Section 4.4 "Energy Management". oAdded a note that the requirements in [COM-REQ] need to be seen as standalone requirementsJames Nguyen andthe current document does not recommend any profile of requirements. o Added a section in [COM-REQ] for the detailed requirements on constrained management matchedUlrich Herberg contributed tomanagement tasks like fault, monitoring, configuration management, Security and Access Control, Energy Management, etc. o Solved nits and added references. o Added Appendix A on the related development in other bodies. o Added Appendix B on the work in related research projects. A.9. draft-ersue-constrained-mgmt-00-01 o Splitted the section on 'Networks of Constrained Devices' into the sections 'Network Topology Options' and 'Management Topology Options'. o Added the use case 'Community Network Applications' and 'Mobile Applications'. o Provided a Contributors section. o Extended the section on 'Medical Applications'. o Solved nits and added references.Section 4.10 "Field Operations". Authors' Addresses Mehmet Ersue (editor) Nokia NetworksEmail: mehmet.ersue@nsn.comEMail: mehmet.ersue@nokia.com Dan Romascanu AvayaEmail:EMail: dromasca@avaya.com Juergen Schoenwaelder Jacobs University BremenEmail:EMail: j.schoenwaelder@jacobs-university.de Anuj Sehgal Jacobs University BremenEmail:EMail: s.anuj@jacobs-university.de