LWIG Working Group                                            C. Bormann
Internet-Draft                                   Universitaet Bremen TZI
Intended status: Informational                                  M. Ersue
Expires: January 3, 2019                    Nokia Solutions and Networks
                                                              A. Keranen
                                                                C. Gomez
                                                           July 02, 2018

               Terminology for Constrained-Node Networks


   The Internet Protocol Suite is increasingly used on small devices
   with severe constraints on power, memory, and processing resources,
   creating constrained-node networks.  This document provides a number
   of basic terms that have been useful in the standardization work for
   constrained-node networks.

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

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   This Internet-Draft will expire on January 3, 2019.

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   publication of this document.  Please review these documents

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   carefully, as they describe your rights and restrictions with respect
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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Core Terminology  . . . . . . . . . . . . . . . . . . . . . .   3
     2.1.  Constrained Nodes . . . . . . . . . . . . . . . . . . . .   4
     2.2.  Constrained Networks  . . . . . . . . . . . . . . . . . .   5
       2.2.1.  Challenged Networks . . . . . . . . . . . . . . . . .   6
     2.3.  Constrained-Node Networks . . . . . . . . . . . . . . . .   6
       2.3.1.  LLN . . . . . . . . . . . . . . . . . . . . . . . . .   7
       2.3.2.  LoWPAN, 6LoWPAN . . . . . . . . . . . . . . . . . . .   7
   3.  Classes of Constrained Devices  . . . . . . . . . . . . . . .   8
   4.  Power Terminology . . . . . . . . . . . . . . . . . . . . . .  11
     4.1.  Scaling Properties  . . . . . . . . . . . . . . . . . . .  11
     4.2.  Classes of Energy Limitation  . . . . . . . . . . . . . .  12
     4.3.  Strategies for Using Power for Communication  . . . . . .  13
   5.  Classes of Networks . . . . . . . . . . . . . . . . . . . . .  15
     5.1.  Classes of link layer MTU size  . . . . . . . . . . . . .  15
     5.2.  Class of Internet Integration . . . . . . . . . . . . . .  16
     5.3.  Classes of physical layer bit rate  . . . . . . . . . . .  16
   6.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  18
   7.  Security Considerations . . . . . . . . . . . . . . . . . . .  18
   8.  Informative References  . . . . . . . . . . . . . . . . . . .  18
   Acknowledgements  . . . . . . . . . . . . . . . . . . . . . . . .  22
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  22

1.  Introduction

   Small devices with limited CPU, memory, and power resources, so-
   called "constrained devices" (often used as sensors/actuators, smart
   objects, or smart devices) can form a network, becoming "constrained
   nodes" in that network.  Such a network may itself exhibit
   constraints, e.g., with unreliable or lossy channels, limited and
   unpredictable bandwidth, and a highly dynamic topology.

   Constrained devices might be in charge of gathering information in
   diverse settings, including natural ecosystems, buildings, and
   factories, and sending the information to one or more server
   stations.  They might also act on information, by performing some
   physical action, including displaying it.  Constrained devices may
   work under severe resource constraints such as limited battery and
   computing power, little memory, and insufficient wireless bandwidth
   and ability to communicate; these constraints often exacerbate each

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   other.  Other entities on the network, e.g., a base station or
   controlling server, might have more computational and communication
   resources and could support the interaction between the constrained
   devices and applications in more traditional networks.

   Today, diverse sizes of constrained devices with different resources
   and capabilities are becoming connected.  Mobile personal gadgets,
   building-automation devices, cellular phones, machine-to-machine
   (M2M) devices, and other devices benefit from interacting with other
   "things" nearby or somewhere in the Internet.  With this, the
   Internet of Things (IoT) becomes a reality, built up out of uniquely
   identifiable and addressable objects (things).  Over the next decade,
   this could grow to large numbers [FIFTY-BILLION] of Internet-
   connected constrained devices, greatly increasing the Internet's size
   and scope.

   The present document provides a number of basic terms that have been
   useful in the standardization work for constrained environments.  The
   intention is not to exhaustively cover the field but to make sure a
   few core terms are used consistently between different groups
   cooperating in this space.

   The present document is an update of [RFC7228].

   In this document, the term "byte" is used in its now customary sense
   as a synonym for "octet".  Where sizes of semiconductor memory are
   given, the prefix "kibi" (1024) is combined with "byte" to
   "kibibyte", abbreviated "KiB", for 1024 bytes [ISQ-13].

   In computing, the term "power" is often used for the concept of
   "computing power" or "processing power", as in CPU performance.  In
   this document, the term stands for electrical power unless explicitly
   stated otherwise.  "Mains-powered" is used as a shorthand for being
   permanently connected to a stable electrical power grid.

2.  Core Terminology

   There are two important aspects to _scaling_ within the Internet of

   o  scaling up Internet technologies to a large number [FIFTY-BILLION]
      of inexpensive nodes, while

   o  scaling down the characteristics of each of these nodes and of the
      networks being built out of them, to make this scaling up
      economically and physically viable.

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   The need for scaling down the characteristics of nodes leads to
   "constrained nodes".

2.1.  Constrained Nodes

   The term "constrained node" is best defined by contrasting the
   characteristics of a constrained node with certain widely held
   expectations on more familiar Internet nodes:

   Constrained Node:  A node where some of the characteristics that are
      otherwise pretty much taken for granted for Internet nodes at the
      time of writing are not attainable, often due to cost constraints
      and/or physical constraints on characteristics such as size,
      weight, and available power and energy.  The tight limits on
      power, memory, and processing resources lead to hard upper bounds
      on state, code space, and processing cycles, making optimization
      of energy and network bandwidth usage a dominating consideration
      in all design requirements.  Also, some layer-2 services such as
      full connectivity and broadcast/multicast may be lacking.

   While this is not a rigorous definition, it is grounded in the state
   of the art and clearly sets apart constrained nodes from server
   systems, desktop or laptop computers, powerful mobile devices such as
   smartphones, etc.  There may be many design considerations that lead
   to these constraints, including cost, size, weight, and other scaling

   (An alternative term, when the properties as a network node are not
   in focus, is "constrained device".)

   There are multiple facets to the constraints on nodes, often applying
   in combination, for example:

   o  constraints on the maximum code complexity (ROM/Flash),

   o  constraints on the size of state and buffers (RAM),

   o  constraints on the amount of computation feasible in a period of
      time ("processing power"),

   o  constraints on the available power, and

   o  constraints on user interface and accessibility in deployment
      (ability to set keys, update software, etc.).

   Section 3 defines a small number of interesting classes ("class-N"
   for N = 0, 1, 2) of constrained nodes focusing on relevant
   combinations of the first two constraints.  With respect to available

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   power, [RFC6606] distinguishes "power-affluent" nodes (mains-powered
   or regularly recharged) from "power-constrained nodes" that draw
   their power from primary batteries or by using energy harvesting;
   more detailed power terminology is given in Section 4.

   The use of constrained nodes in networks often also leads to
   constraints on the networks themselves.  However, there may also be
   constraints on networks that are largely independent from those of
   the nodes.  We therefore distinguish "constrained networks" from
   "constrained-node networks".

2.2.  Constrained Networks

   We define "constrained network" in a similar way:

   Constrained Network:  A network where some of the characteristics
      pretty much taken for granted with link layers in common use in
      the Internet at the time of writing are not attainable.

   Constraints may include:

   o  low achievable bitrate/throughput (including limits on duty

   o  high packet loss and high variability of packet loss (delivery

   o  highly asymmetric link characteristics,

   o  severe penalties for using larger packets (e.g., high packet loss
      due to link-layer fragmentation),

   o  limits on reachability over time (a substantial number of devices
      may power off at any point in time but periodically "wake up" and
      can communicate for brief periods of time), and

   o  lack of (or severe constraints on) advanced services such as IP

   More generally, we speak of constrained networks whenever at least
   some of the nodes involved in the network exhibit these

   Again, there may be several reasons for this:

   o  cost constraints on the network,

   o  constraints posed by the nodes (for constrained-node networks),

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   o  physical constraints (e.g., power constraints, environmental
      constraints, media constraints such as underwater operation,
      limited spectrum for very high density, electromagnetic

   o  regulatory constraints, such as very limited spectrum availability
      (including limits on effective radiated power and duty cycle) or
      explosion safety, and

   o  technology constraints, such as older and lower-speed technologies
      that are still operational and may need to stay in use for some
      more time.

2.2.1.  Challenged Networks

   A constrained network is not necessarily a "challenged network"

   Challenged Network:  A network that has serious trouble maintaining
      what an application would today expect of the end-to-end IP model,
      e.g., by:

      *  not being able to offer end-to-end IP connectivity at all,

      *  exhibiting serious interruptions in end-to-end IP connectivity,

      *  exhibiting delay well beyond the Maximum Segment Lifetime (MSL)
         defined by TCP [RFC0793].

   All challenged networks are constrained networks in some sense, but
   not all constrained networks are challenged networks.  There is no
   well-defined boundary between the two, though.  Delay-Tolerant
   Networking (DTN) has been designed to cope with challenged networks

2.3.  Constrained-Node Networks

   Constrained-Node Network:  A network whose characteristics are
      influenced by being composed of a significant portion of
      constrained nodes.

   A constrained-node network always is a constrained network because of
   the network constraints stemming from the node constraints, but it
   may also have other constraints that already make it a constrained

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   The rest of this subsection introduces two additional terms that are
   in active use in the area of constrained-node networks, without an
   intent to define them: LLN and (6)LoWPAN.

2.3.1.  LLN

   A related term that has been used to describe the focus of the IETF
   ROLL working group is "Low-Power and Lossy Network (LLN)".  The ROLL
   (Routing Over Low-Power and Lossy) terminology document [RFC7102]
   defines LLNs as follows:

      LLN: Low-Power and Lossy Network.  Typically composed of many
      embedded devices with limited power, memory, and processing
      resources interconnected by a variety of links, such as IEEE
      802.15.4 or low-power Wi-Fi.  There is a wide scope of application
      areas for LLNs, including industrial monitoring, building
      automation (heating, ventilation, and air conditioning (HVAC),
      lighting, access control, fire), connected home, health care,
      environmental monitoring, urban sensor networks, energy
      management, assets tracking, and refrigeration.

   Beyond that, LLNs often exhibit considerable loss at the physical
   layer, with significant variability of the delivery rate, and some
   short-term unreliability, coupled with some medium-term stability
   that makes it worthwhile to both construct directed acyclic graphs
   that are medium-term stable for routing and do measurements on the
   edges such as Expected Transmission Count (ETX) [RFC6551].  Not all
   LLNs comprise low-power nodes [I-D.hui-vasseur-roll-rpl-deployment].

   LLNs typically are composed of constrained nodes; this leads to the
   design of operation modes such as the "non-storing mode" defined by
   RPL (the IPv6 Routing Protocol for Low-Power and Lossy Networks
   [RFC6550]).  So, in the terminology of the present document, an LLN
   is a constrained-node network with certain network characteristics,
   which include constraints on the network as well.

2.3.2.  LoWPAN, 6LoWPAN

   One interesting class of a constrained network often used as a
   constrained-node network is "LoWPAN" [RFC4919], a term inspired from
   the name of an IEEE 802.15.4 working group (low-rate wireless
   personal area networks (LR-WPANs)).  The expansion of the LoWPAN
   acronym, "Low-Power Wireless Personal Area Network", contains a hard-
   to-justify "Personal" that is due to the history of task group naming
   in IEEE 802 more than due to an orientation of LoWPANs around a
   single person.  Actually, LoWPANs have been suggested for urban
   monitoring, control of large buildings, and industrial control
   applications, so the "Personal" can only be considered a vestige.

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   Occasionally, the term is read as "Low-Power Wireless Area Networks"
   [WEI].  Originally focused on IEEE 802.15.4, "LoWPAN" (or when used
   for IPv6, "6LoWPAN") also refers to networks built from similarly
   constrained link-layer technologies [RFC7668] [RFC8105] [RFC7428].

3.  Classes of Constrained Devices

   Despite the overwhelming variety of Internet-connected devices that
   can be envisioned, it may be worthwhile to have some succinct
   terminology for different classes of constrained devices.

   Before we get to that, let's first distinguish two big rough groups
   of devices based on their CPU capabilities:

   o  Microcontroller-class devices (ARM term: "M-class" [need ref]).
      These often (but not always) include RAM and code storage on chip
      and limit their support for general-purpose operating systems,
      e.g., they do not have an MMU (memory management unit).  They use
      most of their pins for interfaces to application hardware such as
      digital in/out (the latter often PWM-controllable), ADC/DACs, etc.
      Where this hardware is specialized for an application, we may talk
      about "Systems on a Chip" (SOC).  These devices often implement
      elaborate sleep modes to achieve microwatt- or at least milliwatt-
      level sustained power usage (Ps, see below).

   o  General-purpose-class devices (ARM term: "A-class").  These
      usually have RAM and Flash storage on separate chips (not always
      separate packages), and offer support for general-purpose
      operating systems such as Linux, e.g. an MMU.  Many of the pins on
      the CPU chip are dedidated to interfacing with RAM and other
      memory.  Some general-purpose-class devices integrate some
      application hardware such as video controllers, these are often
      called "Systems on a Chip" (SOC).  While these chips also include
      sleep modes, they are usually more on the watt side of sustained
      power usage (Ps).

   If the distinction between these groups needs to be made in this
   document, we distinguish group "M" (microcontroller) from group "J"
   (general purpose).

   In this document, the class designations in Table 1 may be used as
   rough indications of device capabilities.  Note that the classes from
   10 upwards are not really constrained devices in the sense of the
   previous section; they may still be useful to discuss constraints in
   larger devices:

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   | Group | Name         | data size      | code size   | Examples    |
   |       |              | (e.g., RAM)    | (e.g.,      |             |
   |       |              |                | Flash)      |             |
   | M     | Class 0, C0  | << 10 KiB      | << 100 KiB  | ATtiny      |
   |       |              |                |             |             |
   | M     | Class 1, C1  | ~ 10 KiB       | ~ 100 KiB   | STM32F103CB |
   |       |              |                |             |             |
   | M     | Class 2, C2  | ~ 50 KiB       | ~ 250 KiB   | STM32F103RC |
   |       |              |                |             |             |
   | M     | Class 3, C3  | ~ 100 KiB      | ~ 500..1000 | STM32F103RG |
   |       |              |                | KiB         |             |
   |       |              |                |             |             |
   | M     | Class 4, C4  | ~              | ~           | "Luxury"    |
   |       |              | 300..500..1000 | 1000...2000 |             |
   |       |              | KiB            | KiB         |             |
   |       |              |                |             |             |
   | J     | Class 10,    | 4-8 MiB        | (?)         | OpenWRT     |
   |       | C10          |                |             | routers     |
   |       |              |                |             |             |
   | J     |              | fill in useful | J-group     |             |
   |       |              |                | classes     |             |
   |       |              |                |             |             |
   | J     | Class 13,    | 0.5..1 GiB     | (lots)      | Raspberry   |
   |       | C13          |                |             | PI          |
   |       |              |                |             |             |
   | J     | Class 15,    | 1..2 GiB       | (lots)      | Smartphones |
   |       | C15          |                |             |             |
   |       |              |                |             |             |
   | J     | Class 16,    | 4..32 GiB      | (lots)      | Laptops     |
   |       | C16          |                |             |             |
   |       |              |                |             |             |
   | J     | Class 19,    | (lots)         | (lots)      | Servers     |
   |       | C19          |                |             |             |

        Table 1: Classes of Constrained Devices (KiB = 1024 bytes)

   As of the writing of this document, these characteristics correspond
   to distinguishable clusters of commercially available chips and
   design cores for constrained devices.  While it is expected that the
   boundaries of these classes will move over time, Moore's law tends to
   be less effective in the embedded space than in personal computing
   devices: gains made available by increases in transistor count and
   density are more likely to be invested in reductions of cost and
   power requirements than into continual increases in computing power.

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   Class 0 devices are very constrained sensor-like motes.  They are so
   severely constrained in memory and processing capabilities that most
   likely they will not have the resources required to communicate
   directly with the Internet in a secure manner (rare heroic, narrowly
   targeted implementation efforts notwithstanding).  Class 0 devices
   will participate in Internet communications with the help of larger
   devices acting as proxies, gateways, or servers.  Class 0 devices
   generally cannot be secured or managed comprehensively in the
   traditional sense.  They will most likely be preconfigured (and will
   be reconfigured rarely, if at all) with a very small data set.  For
   management purposes, they could answer keepalive signals and send on/
   off or basic health indications.

   Class 1 devices are quite constrained in code space and processing
   capabilities, such that they cannot easily talk to other Internet
   nodes employing a full protocol stack such as using HTTP, Transport
   Layer Security (TLS), and related security protocols and XML-based
   data representations.  However, they are capable enough to use a
   protocol stack specifically designed for constrained nodes (such as
   the Constrained Application Protocol (CoAP) over UDP [RFC7252]) and
   participate in meaningful conversations without the help of a gateway
   node.  In particular, they can provide support for the security
   functions required on a large network.  Therefore, they can be
   integrated as fully developed peers into an IP network, but they need
   to be parsimonious with state memory, code space, and often power
   expenditure for protocol and application usage.

   Class 2 devices are less constrained and fundamentally capable of
   supporting most of the same protocol stacks as used on notebooks or
   servers.  However, even these devices can benefit from lightweight
   and energy-efficient protocols and from consuming less bandwidth.
   Furthermore, using fewer resources for networking leaves more
   resources available to applications.  Thus, using the protocol stacks
   defined for more constrained devices on Class 2 devices might reduce
   development costs and increase the interoperability.

   Constrained devices with capabilities significantly beyond Class 2
   devices exist.  They are less demanding from a standards development
   point of view as they can largely use existing protocols unchanged.
   The previous version of the present document therefore did not make
   any attempt to define constrained classes beyond Class 2.  These
   devices, and to a certain extent even J-group devices, can still be
   constrained by a limited energy supply.  Class 3 and 4 devices are
   less clearly defined than the lower classes; they are even less
   constrained.  In particular Class 4 devices are powerful enough to
   quite comfortably run, e.g., JavaScript interpreters, together with
   elaborate network stacks.  Additional classes may need to be defined

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   based on protection capabilities, e.g., an MPU (memory protection
   unit; true MMUs are typically only found in J-group devices).

   With respect to examining the capabilities of constrained nodes,
   particularly for Class 1 devices, it is important to understand what
   type of applications they are able to run and which protocol
   mechanisms would be most suitable.  Because of memory and other
   limitations, each specific Class 1 device might be able to support
   only a few selected functions needed for its intended operation.  In
   other words, the set of functions that can actually be supported is
   not static per device type: devices with similar constraints might
   choose to support different functions.  Even though Class 2 devices
   have some more functionality available and may be able to provide a
   more complete set of functions, they still need to be assessed for
   the type of applications they will be running and the protocol
   functions they would need.  To be able to derive any requirements,
   the use cases and the involvement of the devices in the application
   and the operational scenario need to be analyzed.  Use cases may
   combine constrained devices of multiple classes as well as more
   traditional Internet nodes.

4.  Power Terminology

   Devices not only differ in their computing capabilities but also in
   available power and/or energy.  While it is harder to find
   recognizable clusters in this space, it is still useful to introduce
   some common terminology.

4.1.  Scaling Properties

   The power and/or energy available to a device may vastly differ, from
   kilowatts to microwatts, from essentially unlimited to hundreds of

   Instead of defining classes or clusters, we simply state, using the
   International System of Units (SI units), an approximate value for
   one or both of the quantities listed in Table 2:

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   | Name | Definition                                       | SI Unit |
   | Ps   | Sustainable average power available for the      | W       |
   |      | device over the time it is functioning           | (Watt)  |
   |      |                                                  |         |
   | Et   | Total electrical energy available before the     | J       |
   |      | energy source is exhausted                       | (Joule) |

             Table 2: Quantities Relevant to Power and Energy

   The value of Et may need to be interpreted in conjunction with an
   indication over which period of time the value is given; see
   Section 4.2.

   Some devices enter a "low-power" mode before the energy available in
   a period is exhausted or even have multiple such steps on the way to
   exhaustion.  For these devices, Ps would need to be given for each of
   the modes/steps.

4.2.  Classes of Energy Limitation

   As discussed above, some devices are limited in available energy as
   opposed to (or in addition to) being limited in available power.
   Where no relevant limitations exist with respect to energy, the
   device is classified as E9.  The energy limitation may be in total
   energy available in the usable lifetime of the device (e.g., a device
   that is discarded when its non-replaceable primary battery is
   exhausted), classified as E2.  Where the relevant limitation is for a
   specific period, the device is classified as E1, e.g., a solar-
   powered device with a limited amount of energy available for the
   night, a device that is manually connected to a charger and has a
   period of time between recharges, or a device with a periodic
   (primary) battery replacement interval.  Finally, there may be a
   limited amount of energy available for a specific event, e.g., for a
   button press in an energy-harvesting light switch; such devices are
   classified as E0.  Note that, in a sense, many E1 devices are also
   E2, as the rechargeable battery has a limited number of useful
   recharging cycles.

   Table 3 provides a summary of the classifications described above.

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   | Name | Type of energy limitation    | Example Power Source        |
   | E0   | Event energy-limited         | Event-based harvesting      |
   |      |                              |                             |
   | E1   | Period energy-limited        | Battery that is             |
   |      |                              | periodically recharged or   |
   |      |                              | replaced                    |
   |      |                              |                             |
   | E2   | Lifetime energy-limited      | Non-replaceable primary     |
   |      |                              | battery                     |
   |      |                              |                             |
   | E9   | No direct quantitative       | Mains-powered               |
   |      | limitations to available     |                             |
   |      | energy                       |                             |

                   Table 3: Classes of Energy Limitation

4.3.  Strategies for Using Power for Communication

   Especially when wireless transmission is used, the radio often
   consumes a big portion of the total energy consumed by the device.
   Design parameters, such as the available spectrum, the desired range,
   and the bitrate aimed for, influence the power consumed during
   transmission and reception; the duration of transmission and
   reception (including potential reception) influence the total energy

   Different strategies for power usage and network attachment may be
   used, based on the type of the energy source (e.g., battery or mains-
   powered) and the frequency with which a device needs to communicate.

   The general strategies for power usage can be described as follows:

   Always-on:  This strategy is most applicable if there is no reason
      for extreme measures for power saving.  The device can stay on in
      the usual manner all the time.  It may be useful to employ power-
      friendly hardware or limit the number of wireless transmissions,
      CPU speeds, and other aspects for general power-saving and cooling
      needs, but the device can be connected to the network all the

   Normally-off:  Under this strategy, the device sleeps such long
      periods at a time that once it wakes up, it makes sense for it to
      not pretend that it has been connected to the network during
      sleep: the device reattaches to the network as it is woken up.
      The main optimization goal is to minimize the effort during the

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      reattachment process and any resulting application communications.
      If the device sleeps for long periods of time and needs to
      communicate infrequently, the relative increase in energy
      expenditure during reattachment may be acceptable.

   Low-power:  This strategy is most applicable to devices that need to
      operate on a very small amount of power but still need to be able
      to communicate on a relatively frequent basis.  This implies that
      extremely low-power solutions need to be used for the hardware,
      chosen link-layer mechanisms, and so on.  Typically, given the
      small amount of time between transmissions, despite their sleep
      state, these devices retain some form of attachment to the
      network.  Techniques used for minimizing power usage for the
      network communications include minimizing any work from re-
      establishing communications after waking up and tuning the
      frequency of communications (including "duty cycling", where
      components are switched on and off in a regular cycle) and other
      parameters appropriately.

   Table 4 provides a summary of the strategies described above.

   | Name | Strategy     | Ability to communicate                      |
   | P0   | Normally-off | Reattach when required                      |
   |      |              |                                             |
   | P1   | Low-power    | Appears connected, perhaps with high        |
   |      |              | latency                                     |
   |      |              |                                             |
   | P9   | Always-on    | Always connected                            |

           Table 4: Strategies of Using Power for Communication

   Note that the discussion above is at the device level; similar
   considerations can apply at the communications-interface level.  This
   document does not define terminology for the latter.

   A term often used to describe power-saving approaches is "duty-
   cycling".  This describes all forms of periodically switching off
   some function, leaving it on only for a certain percentage of time
   (the "duty cycle").

   [RFC7102] only distinguishes two levels, defining a Non-Sleepy Node
   as a node that always remains in a fully powered-on state (always
   awake) where it has the capability to perform communication (P9) and
   a Sleepy Node as a node that may sometimes go into a sleep mode (a

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   low-power state to conserve power) and temporarily suspend protocol
   communication (P0); there is no explicit mention of P1.

5.  Classes of Networks

5.1.  Classes of link layer MTU size

   Link layer technologies used by constrained devices can be
   categorized on the basis of link layer MTU size.  Depending on this
   parameter, the fragmentation techniques needed (if any) to support
   the IPv6 MTU requirement may vary.

   We define the following classes of link layer MTU size:

    | Name | L2 MTU size (bytes) | 6LoWPAN Fragmentation applicable*? |
    | S0   | 3 - 12              | need new kind of fragmentation     |
    |      |                     |                                    |
    | S1   | 13 - 127            | yes                                |
    |      |                     |                                    |
    | S2   | 128 - 1279          | yes                                |
    |      |                     |                                    |
    | S2   | >= 1280             | no fragmentation needed            |

   *if no link layer fragmentation is available
   (note: 'Sx' stands for 'Size x')

   S0 technologies require fragmentation to support the IPv6 MTU
   requirement.  If no link layer fragmentation is available,
   fragmentation is needed at the adaptation layer below IPv6.  However,
   6LoWPAN fragmentation [RFC4944] cannot be used for these
   technologies, given the extremely reduced link layer MTU.  In this
   case, lightweight fragmentation formats must be used (e.g.

   S1 and S2 technologies require fragmentation at the subnetwork level
   to support the IPv6 MTU requirement.  If link layer fragmentation is
   unavailable or insufficient, fragmentation is needed at the
   adaptation layer below IPv6.  6LoWPAN fragmentation [RFC4944] can be
   used to carry 1280-byte IPv6 packets over these technologies.

   S3 technologies do not require fragmentation to support the IPv6 MTU

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5.2.  Class of Internet Integration

   The term "Internet of Things" is sometimes confusingly used for
   connected devices that are not actually employing Internet
   technology.  Some devices do use Internet technology, but only use it
   to exchange packets with a fixed communication partner ("device-to-
   cloud" scenarios, [RFC7452]).  More general devices are prepared to
   communicate with other nodes in the Internet as well.

   We define the following classes of Internet technology level:

              | Name | Internet technology                  |
              | I0   | none (local interconnect only)       |
              |      |                                      |
              | I1   | device-to-cloud only                 |
              |      |                                      |
              | I9   | full Internet connectivity supported |

5.3.  Classes of physical layer bit rate

   [This section is a trial balloon.  We could also talk about burst
   rate, sustained rate; bits/s, messages/s, ...]

   Physical layer technologies used by constrained devices can be
   categorized on the basis of physical layer (PHY) bit rate.  The PHY
   bit rate class of a technology has important implications with regard
   to compatibility with existing protocols and mechanisms on the
   Internet, responsiveness to frame transmissions and need for header
   compression techniques.

   We define the following classes of PHY bit rate:

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   | Name | PHY bit    | Comment                                       |
   |      | rate       |                                               |
   |      | (bit/s)    |                                               |
   | B0   | < 10       | Tx time of 150-byte frame > MSL               |
   |      |            |                                               |
   | B1   | 10 - 10^3  | Unresponsiveness if human expects reaction to |
   |      |            | sent frame (frame size > 62.5 byte)           |
   |      |            |                                               |
   | B2   | 10^3 -     | Responsiveness if human expects reaction to   |
   |      | 10^6       | sent frame, but header compression still      |
   |      |            | needed                                        |
   |      |            |                                               |
   | B3   | > 10^6     | Header compression yields relatively low      |
   |      |            | performance benefits                          |

   (note: 'Bx' stands for 'Bit rate x')

   B0 technologies lead to very high transmission times, which may be
   close to or even greater than the Maximum Segment Lifetime (MSL)
   assumed on the Internet [RFC0793].  Many Internet protocols and
   mechanisms will fail when transmit times are greater than the MSL.
   B0 technologies lead to a frame transmission time greater than the
   MSL for a frame size greater than 150 bytes.

   B1 technologies offer transmission times which are lower than the MSL
   (for a frame size greater than 150 bytes).  However, transmission
   times for B1 technologies are still significant if a human expects a
   reaction to the transmission of a frame.  With B1 technologies, the
   transmission time of a frame greater than 62.5 bytes exceeds 0.5
   seconds, i.e. a threshold time beyond which any response or reaction
   to a frame transmission will appear not to be immediate [RFC5826].

   B2 technologies do not incur responsiveness problems, but still
   benefit from using header compression techniques (e.g.  [RFC6282]) to
   achieve performance improvements.

   Over B3 technologies, the relative performance benefits of header
   compression are low.  For example, in a duty-cycled technology
   offering B3 PHY bit rates, energy consumption decrease due to header
   compression may be comparable with the energy consumed while in a
   sleep interval.  On the other hand, for B3 PHY bit rates, a human
   user will not be able to perceive whether header compression has been
   used or not in a frame transmission.

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6.  IANA Considerations

   This document makes no requests of IANA.

7.  Security Considerations

   This document introduces common terminology that does not raise any
   new security issues.  Security considerations arising from the
   constraints discussed in this document need to be discussed in the
   context of specific protocols.  For instance, Section 11.6 of
   [RFC7252], "Constrained node considerations", discusses implications
   of specific constraints on the security mechanisms employed.
   [RFC7416] provides a security threat analysis for the RPL routing
   protocol.  Implementation considerations for security protocols on
   constrained nodes are discussed in [RFC7815] and
   [I-D.ietf-lwig-tls-minimal].  A wider view of security in
   constrained-node networks is provided in

8.  Informative References

   [FALL]     Fall, K., "A Delay-Tolerant Network Architecture for
              Challenged Internets", SIGCOMM 2003,
              DOI 10.1145/863955.863960, 2003.

              Ericsson, "More Than 50 Billion Connected Devices",
              Ericsson White Paper 284 23-3149 Uen, February 2011,

              Vasseur, J., Hui, J., Dasgupta, S., and G. Yoon, "RPL
              deployment experience in large scale networks", draft-hui-
              vasseur-roll-rpl-deployment-01 (work in progress), July

              Minaburo, A., Toutain, L., Gomez, C., and D. Barthel,
              "LPWAN Static Context Header Compression (SCHC) and
              fragmentation for IPv6 and UDP", draft-ietf-lpwan-ipv6-
              static-context-hc-16 (work in progress), June 2018.

              Kumar, S., Keoh, S., and H. Tschofenig, "A Hitchhiker's
              Guide to the (Datagram) Transport Layer Security Protocol
              for Smart Objects and Constrained Node Networks", draft-
              ietf-lwig-tls-minimal-01 (work in progress), March 2014.

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              Garcia-Morchon, O., Kumar, S., and M. Sethi, "State-of-
              the-Art and Challenges for the Internet of Things
              Security", draft-irtf-t2trg-iot-seccons-15 (work in
              progress), May 2018.

   [ISQ-13]   International Electrotechnical Commission, "International
              Standard -- Quantities and units -- Part 13: Information
              science and technology", IEC 80000-13, March 2008.

   [RFC0793]  Postel, J., "Transmission Control Protocol", STD 7,
              RFC 793, DOI 10.17487/RFC0793, September 1981,

   [RFC4838]  Cerf, V., Burleigh, S., Hooke, A., Torgerson, L., Durst,
              R., Scott, K., Fall, K., and H. Weiss, "Delay-Tolerant
              Networking Architecture", RFC 4838, DOI 10.17487/RFC4838,
              April 2007, <https://www.rfc-editor.org/info/rfc4838>.

   [RFC4919]  Kushalnagar, N., Montenegro, G., and C. Schumacher, "IPv6
              over Low-Power Wireless Personal Area Networks (6LoWPANs):
              Overview, Assumptions, Problem Statement, and Goals",
              RFC 4919, DOI 10.17487/RFC4919, August 2007,

   [RFC4944]  Montenegro, G., Kushalnagar, N., Hui, J., and D. Culler,
              "Transmission of IPv6 Packets over IEEE 802.15.4
              Networks", RFC 4944, DOI 10.17487/RFC4944, September 2007,

   [RFC5826]  Brandt, A., Buron, J., and G. Porcu, "Home Automation
              Routing Requirements in Low-Power and Lossy Networks",
              RFC 5826, DOI 10.17487/RFC5826, April 2010,

   [RFC6282]  Hui, J., Ed. and P. Thubert, "Compression Format for IPv6
              Datagrams over IEEE 802.15.4-Based Networks", RFC 6282,
              DOI 10.17487/RFC6282, September 2011,

   [RFC6550]  Winter, T., Ed., Thubert, P., Ed., Brandt, A., Hui, J.,
              Kelsey, R., Levis, P., Pister, K., Struik, R., Vasseur,
              JP., and R. Alexander, "RPL: IPv6 Routing Protocol for
              Low-Power and Lossy Networks", RFC 6550,
              DOI 10.17487/RFC6550, March 2012,

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   [RFC6551]  Vasseur, JP., Ed., Kim, M., Ed., Pister, K., Dejean, N.,
              and D. Barthel, "Routing Metrics Used for Path Calculation
              in Low-Power and Lossy Networks", RFC 6551,
              DOI 10.17487/RFC6551, March 2012,

   [RFC6606]  Kim, E., Kaspar, D., Gomez, C., and C. Bormann, "Problem
              Statement and Requirements for IPv6 over Low-Power
              Wireless Personal Area Network (6LoWPAN) Routing",
              RFC 6606, DOI 10.17487/RFC6606, May 2012,

   [RFC7102]  Vasseur, JP., "Terms Used in Routing for Low-Power and
              Lossy Networks", RFC 7102, DOI 10.17487/RFC7102, January
              2014, <https://www.rfc-editor.org/info/rfc7102>.

   [RFC7228]  Bormann, C., Ersue, M., and A. Keranen, "Terminology for
              Constrained-Node Networks", RFC 7228,
              DOI 10.17487/RFC7228, May 2014,

   [RFC7252]  Shelby, Z., Hartke, K., and C. Bormann, "The Constrained
              Application Protocol (CoAP)", RFC 7252,
              DOI 10.17487/RFC7252, June 2014,

   [RFC7416]  Tsao, T., Alexander, R., Dohler, M., Daza, V., Lozano, A.,
              and M. Richardson, Ed., "A Security Threat Analysis for
              the Routing Protocol for Low-Power and Lossy Networks
              (RPLs)", RFC 7416, DOI 10.17487/RFC7416, January 2015,

   [RFC7428]  Brandt, A. and J. Buron, "Transmission of IPv6 Packets
              over ITU-T G.9959 Networks", RFC 7428,
              DOI 10.17487/RFC7428, February 2015,

   [RFC7452]  Tschofenig, H., Arkko, J., Thaler, D., and D. McPherson,
              "Architectural Considerations in Smart Object Networking",
              RFC 7452, DOI 10.17487/RFC7452, March 2015,

   [RFC7668]  Nieminen, J., Savolainen, T., Isomaki, M., Patil, B.,
              Shelby, Z., and C. Gomez, "IPv6 over BLUETOOTH(R) Low
              Energy", RFC 7668, DOI 10.17487/RFC7668, October 2015,

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   [RFC7815]  Kivinen, T., "Minimal Internet Key Exchange Version 2
              (IKEv2) Initiator Implementation", RFC 7815,
              DOI 10.17487/RFC7815, March 2016,

   [RFC8105]  Mariager, P., Petersen, J., Ed., Shelby, Z., Van de Logt,
              M., and D. Barthel, "Transmission of IPv6 Packets over
              Digital Enhanced Cordless Telecommunications (DECT) Ultra
              Low Energy (ULE)", RFC 8105, DOI 10.17487/RFC8105, May
              2017, <https://www.rfc-editor.org/info/rfc8105>.

   [WEI]      Shelby, Z. and C. Bormann, "6LoWPAN: the Wireless Embedded
              Internet", Wiley-Blackwell monograph,
              DOI 10.1002/9780470686218, ISBN 9780470747995, 2009.

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Authors' Addresses

   Carsten Bormann
   Universitaet Bremen TZI
   Postfach 330440
   Bremen  D-28359

   Phone: +49-421-218-63921
   EMail: cabo@tzi.org

   Mehmet Ersue
   Nokia Solutions and Networks
   St.-Martinstrasse 76
   Munich  81541

   Phone: +49 172 8432301
   EMail: mehmet.ersue@nsn.com

   Ari Keranen
   Hirsalantie 11
   Jorvas  02420

   EMail: ari.keranen@ericsson.com

   Carles Gomez
   Escola d'Enginyeria de Telecomunicacio i Aeroespacial
   de Castelldefels
   C/Esteve Terradas, 7
   Castelldefels  08860

   Phone: +34-93-413-7206
   EMail: carlesgo@entel.upc.edu

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