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Versions: (draft-popa-roll-applicability-ami) 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 RFC 8036

Roll                                                  N. Cam-Winget, Ed.
Internet-Draft                                             Cisco Systems
Intended status: Standards Track                                  J. Hui
Expires: April 9, 2017                                              Nest
                                                                 D. Popa
                                                              Itron, Inc
                                                         October 6, 2016

Applicability Statement for the Routing Protocol for Low Power and Lossy
                     Networks (RPL) in AMI Networks


   This document discusses the applicability of RPL in Advanced Metering
   Infrastructure (AMI) networks.

Status of This Memo

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

   Internet-Drafts are working documents of the Internet Engineering
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   This Internet-Draft will expire on April 9, 2017.

Copyright Notice

   Copyright (c) 2016 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
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   include Simplified BSD License text as described in Section 4.e of

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   the Trust Legal Provisions and are provided without warranty as
   described in the Simplified BSD License.

Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
     1.1.  Requirements Language . . . . . . . . . . . . . . . . . .   3
     1.2.  Required Reading  . . . . . . . . . . . . . . . . . . . .   3
     1.3.  Out of scope requirements . . . . . . . . . . . . . . . .   3
   2.  Routing Protocol for LLNs (RPL) . . . . . . . . . . . . . . .   4
   3.  Description of AMI networks for electric meters . . . . . . .   4
     3.1.  Deployment Scenarios  . . . . . . . . . . . . . . . . . .   5
   4.  Smart Grid Traffic Description  . . . . . . . . . . . . . . .   7
     4.1.  Smart Grid Traffic Characteristics  . . . . . . . . . . .   7
     4.2.  Smart Grid Traffic QoS Requirements . . . . . . . . . . .   8
     4.3.  RPL applicability per Smart Grid Traffic Characteristics    9
   5.  Layer 2 applicability . . . . . . . . . . . . . . . . . . . .   9
     5.1.  IEEE Wireless Technology  . . . . . . . . . . . . . . . .   9
     5.2.  IEEE PowerLine Communication (PLC) technology . . . . . .   9
   6.  Using RPL to Meet Functional Requirements . . . . . . . . . .  10
   7.  RPL Profile . . . . . . . . . . . . . . . . . . . . . . . . .  11
     7.1.  RPL Features  . . . . . . . . . . . . . . . . . . . . . .  11
       7.1.1.  RPL Instances . . . . . . . . . . . . . . . . . . . .  11
       7.1.2.  DAO Policy  . . . . . . . . . . . . . . . . . . . . .  11
       7.1.3.  Path Metrics  . . . . . . . . . . . . . . . . . . . .  11
       7.1.4.  Objective Function  . . . . . . . . . . . . . . . . .  11
       7.1.5.  DODAG Repair  . . . . . . . . . . . . . . . . . . . .  12
       7.1.6.  Multicast . . . . . . . . . . . . . . . . . . . . . .  12
       7.1.7.  Security  . . . . . . . . . . . . . . . . . . . . . .  12
     7.2.  Description of Layer-two features . . . . . . . . . . . .  13
       7.2.1.  IEEE 1901.2 PHY and MAC sub-layer features  . . . . .  13
       7.2.2.  IEEE 802.15.4 (g + e) PHY and MAC features  . . . . .  14
       7.2.3.  IEEE MAC sub-layer Security Features  . . . . . . . .  15
     7.3.  6LowPAN Options . . . . . . . . . . . . . . . . . . . . .  16
     7.4.  Recommended Configuration Defaults and Ranges . . . . . .  17
       7.4.1.  Trickle Parameters  . . . . . . . . . . . . . . . . .  17
       7.4.2.  Other Parameters  . . . . . . . . . . . . . . . . . .  18
   8.  Manageability Considerations  . . . . . . . . . . . . . . . .  18
   9.  Security Considerations . . . . . . . . . . . . . . . . . . .  19
     9.1.  Security Considerations during initial deployment . . . .  19
     9.2.  Security Considerations during incremental deployment . .  19
     9.3.  Security Considerations based on RPL's Threat Analysis  .  20
   10. Privacy Considerations  . . . . . . . . . . . . . . . . . . .  20
   11. IANA Considerations . . . . . . . . . . . . . . . . . . . . .  20
   12. Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  20
   13. References  . . . . . . . . . . . . . . . . . . . . . . . . .  21
     13.1.  Normative References . . . . . . . . . . . . . . . . . .  21
     13.2.  Informative references . . . . . . . . . . . . . . . . .  22

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   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  23

1.  Introduction

   Advanced Metering Infrastructure (AMI) systems enable the
   measurement, configuration, and control of energy, gas and water
   consumption and distribution, through two-way scheduled, on
   exception, and on-demand communication.

   AMI networks are composed of millions of endpoints, including meters,
   distribution automation elements, and eventually home area network
   devices.  They are typically inter-connected using some combination
   of wireless and power-line communications, forming the so-called
   Neighbor Area Network (NAN) along with a backhaul network providing
   connectivity to "command-and-control" management software
   applications at the utility company back office.

1.1.  Requirements Language

   The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT",
   "OPTIONAL" in this document are to be interpreted as described in

1.2.  Required Reading

   [surveySG] gives an overview of Smart Grid architecture and related

   NAN can use wireless communication technology in which case is using,
   from the IEEE 802.15.4 standard family, the [IEEE802.15.4g] PHY Layer
   amendment and [IEEE802.15.4e] MAC sub-layer amendment, specifically
   adapted to smart grid networks.

   NAN can also use PLC (Power Line Communication) technology as an
   alternatve to wireless communications.  Several standards for PLC
   technology have emerged, such as [IEEE1901.2].

   NAN can further use a mix of wireless and PLC technologies to
   increase the network coverage ratio, a critical requirement for AMI

1.3.  Out of scope requirements

   The following are outside the scope of this document:

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   o  Applicability statement for RPL (Routing Protocol for Low Power
      and Lossy Networks) [RFC6550] in AMI networks composed of battery-
      powered devices (i.e., gas/water meters).

   o  Applicability statement for RPL in AMI networks composed of a mix
      of AC powered devices (i.e., electric meters) and battery-powered
      meters (i.e., gas/water meters).

   o  Applicability statement for RPL storing mode of operation in AMI

2.  Routing Protocol for LLNs (RPL)

   RPL provides routing functionality for mesh networks that can scale
   up to thousands of resource-constrained devices, interconnected by
   low power and lossy links, and communicating with the external
   network infrastructure through a common aggregation point(s) (e.g., a
   LLN Border Router or LBR).

   RPL builds a Directed Acyclic Graph (DAG) routing structure rooted at
   a LBR (LLN Border Router), ensures loop-free routing, and provides
   support for alternate routes, as well as, for a wide range of routing
   metrics and policies.

   RPL was designed to operate in energy-constrained environments and
   includes energy-saving mechanisms (e.g., Trickle timers) and energy-
   aware metrics.  RPL's ability to support multiple different metrics
   and constraints at the same time enables it to run efficiently in
   heterogeneous networks composed of nodes and links with vastly
   different characteristics [RFC6551].

   This document describes the applicability of RPL non-storing mode (as
   defined in [RFC6550]) to AMI deployments.  The Routing Requirements
   for Urban Low-Power and Lossy Networks are applicable to AMI networks
   as well.  The terminology used in this document is defined in

3.  Description of AMI networks for electric meters

   In many deployments, in addition to measuring energy consumption, the
   electric meter network plays a central role in the Smart Grid since
   the device enables the utility company to control and query the
   electric meters themselves and can serve as a backhaul for all other
   devices in the Smart Grid, e.g., water and gas meters, distribution
   automation and home area network devices.  Electric meters may also
   be used as sensors to monitor electric grid quality and to support
   applications such as Electric Vehicle charging.

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   Electric meter networks can be composed of millions of smart meters
   (or nodes), each of which is resource-constrained in terms of
   processing power, storage capabilities, and communication bandwidth,
   due to a combination of factors including regulations on spectrum
   use, and on meter behavior and performance, on heat emissions within
   the meter, form factor and cost considerations.  These constraints
   result in a compromise between range and throughput, with effective
   link throughput of tens to a few hundred kilobits per second per
   link, a potentially significant portion of which is taken up by
   protocol and encryption overhead when strong security measures are in

   Electric meters are often interconnected into multi-hop mesh
   networks, each of which is connected to a backhaul network leading to
   the utility company network through a network aggregation point,
   e.g., an LBR.

3.1.  Deployment Scenarios

   AMI networks are composed of millions of endpoints distributed across
   both urban and rural environments.  Such endpoints can include
   electric, gas, and water meters, distribution automation elements,
   and home area network devices.

   Devices in the network communicate directly with other devices in
   close proximity using a variety of low-power and/or lossy link
   technologies that are both wireless and wired (e.g., IEEE 802.15.4g,
   IEEE 802.15.4e, IEEE 1901.2, IEEE 802.11).  In addition to serving as
   sources and destinations of packets, many network elements typically
   also forward packets and thus form a mesh topology.

   In a typical AMI deployment, groups of meters within physical
   proximity form routing domains, each in the order of a 1,000 to
   10,000 meters.  Thus, each electric meter mesh typically has several
   thousand wireless endpoints, with densities varying based on the area
   and the terrain.

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                                          M   M   M   M  | M
             /-----------\            /---+---+---+---+--+-+- phase 1
    +----+   ( Internet  )    +-----+ /   M    M    M    M
    |MDMS|---(           )----| LBR |/----+----+----+----+---- phase 2
    +----+   (   WAN     )    +-----+\
              \----------/            \   M  M      M   M
                                       \--+--+----+-+---+----- phase 3
                                                   \   M   M

                      Figure 1: Typical NAN Topology

   A typical AMI network architecture (see figure Figure 1) is composed
   of a MDMS (Meter Data Management System) connected through IP network
   to a LBR, which can be located in the power substation or somewhere
   else in the field.  The power substation connects the households and
   buildings.  The physical topology of the electrical grid is a tree
   structure, either due to the 3 different power phases coming through
   the sub-station or just to the electrical network topology.  Meters
   (represented by a M in the previous figure) can also participate in a
   HAN (Home-Area Network).  The scope of this document is the
   communication between the LBR and the meters, i.e. the NAN (Neighbor-
   Area Network) segment.

   Node density can vary significantly.  For example, apartment
   buildings in urban centers may have hundreds of meters in close
   proximity, whereas rural areas may have sparse node distributions and
   include nodes that only have a small number of network neighbors.
   Each routing domain is connected to the larger IP infrastructure
   through one or more LBRs, which provide Wide Area Network (WAN)
   connectivity through various traditional network technologies, e.g.,
   Ethernet, cellular, private WiMAX-based WAN, optical fiber.  Paths in
   the mesh between a network node and the nearest LBR may be composed
   of several hops or even several tens of hops.  Powered from the main
   line, electric meters have less energy constraints than battery
   powered devices, such as gas and water meters, and can afford the
   additional resources required to route packets.

   As a function of the technology used to exchange information, the
   logical network topology will not necessarily match the electric grid
   topology.  If meters exchange information through radio technologies
   such as in IEEE 802.15.4 family, the topology is a meshed network,

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   where nodes belonging to the same DODAG (Destination Oriented
   Directed Acyclic Graph ) can be connected to the grid through
   different substations.  If narrowband PLC technology is used, it will
   follow more or less the physical tree structure since diaphony may
   allow one phase to communicate with the other.  This is particularly
   true near the LBR.  Some mixed topology can also be observed, since
   some LBRs may be strategically installed in the field to avoid all
   the communications going through a single LBR.  Nethertheless, the
   short propagation range forces meters to relay the information.

4.  Smart Grid Traffic Description

4.1.  Smart Grid Traffic Characteristics

   In current AMI deployments, metering applications typically require
   all smart meters to communicate with a few head-end servers, deployed
   in the utility company data center.  Head-end servers generate data
   traffic to configure smart data reading or initiate queries, and use
   unicast and multicast to efficiently communicate with a single device
   (i.e.  Point-to-Point (P2P) communications) or groups of devices
   respectively (i.e., Point-to-Multipoint (P2MP) communication).  The
   head-end server may send a single small packet at a time to the
   meters (e.g., a meter read request, a small configuration change,
   service switch command) or a series of large packets (e.g., a
   firmware download across one or even thousands of devices).  The
   frequency of large file transfers (e.g., firmware download of all
   metering devices) is typically much lower than the frequency of
   sending configuration messages or queries.  Each smart meter
   generates Smart Metering Data (SMD) traffic according to a schedule
   (e.g., periodic meter reads), in response to on-demand queries (e.g.,
   on-demand meter reads), or in response to some local event (e.g.,
   power outage, leak detection).  Such traffic is typically destined to
   a single head-end server.  The SMD traffic is thus highly asymmetric,
   where the majority of the traffic volume generated by the smart
   meters typically goes through the LBRs, and is directed from the
   smart meter devices to the head-end servers, in a MP2P (Mesh Peer to
   Peer)fashion.  Current SMD traffic patterns are fairly uniform and
   well-understood.  The traffic generated by the head-end server and
   destined to metering devices is dominated by periodic meter reads,
   while traffic generated by the metering devices is typically
   uniformly spread over some periodic read time-window.

   Smart metering applications typically do not have hard real-time
   constraints, but they are often subject to bounded latency and
   stringent reliability service level agreements.

   Distribution Automation (DA) applications typically involve a small
   number of devices that communicate with each other in a Point-to-

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   Point (P2P) fashion, and may or may not be in close physical
   proximity.  DA applications typically have more stringent latency
   requirements than SMD applications.

   There are also a number of emerging applications such as electric
   vehicle charging.  These applications may require P2P communication
   and may eventually have more stringent latency requirements than SMD

4.2.  Smart Grid Traffic QoS Requirements

   As described previously, the two main traffic families in a NAN are:

   A) Meter-initiated traffic (Meter-to-head-end - M2HE)

   B) Head-end-initiated traffic (Head-end-to-meter - HE2M)

      B1)  request is sent in point-to-point to a specific meter

      B2)  request is sent in multicast to a subset of meters

      B3)  request is sent in multicast to all meters

   The M2HE are event-based, while the HE2M are mostly command-response.
   In most cases, M2HE traffic is more critical than HE2M one, but there
   can be exceptions.

   Regarding priority, traffic may also be decomposed into several
   classes :

   C1)  Highly Priority Critical traffic for Power System Outage,
      Pricing Events and Emergency Messages require a 98%+ packet
      delivery under 5 s.  Payload size < 100 bytes

   C2)  Critical Priority traffic Power Quality Events, Meter Service
      Connection and Disconnection require 98%+ packet delivery under
      10s.  Payload size < 150 bytes

   C3)  Normal Priority traffic for System Events including Faults,
      Configuration and Security require 98%+ packet delivery under 30s.
      Payload size < 200 bytes

   C4)  Low Priority traffic for Recurrent Meter Reading require 98%+
      packet 2 hour delivery window 6 times per day.  Payload size < 400

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   C5)  Background Priority traffic for firmware/software updates
      processed to 98%+ of devices within 7 days.  Average firmware
      update is 1 MB.

4.3.  RPL applicability per Smart Grid Traffic Characteristics

   RPL non-storing mode of operation naturally support upstream and
   downstream forwarding of unicast traffic between the DODAG root and
   each DODAG node, and between DODAG nodes and DODAG root,

   Group communication model used in smart grid requires RPL non-storing
   mode of operation to support downstream forwarding of multicast
   traffic with a scope larger than link-local.  The DODAG root is the
   single device that injects multicast traffic, with a scope larger
   than link-local, into the DODAG.

5.  Layer 2 applicability

5.1.  IEEE Wireless Technology

   IEEE Std. 802.15.4g and IEEE 802.15.4e amendments to 802.15.4
   standard have been specifically developed for smart grid networks.
   They are the most common PHY and MAC layers used for wireless AMI
   network.  802.15.4g specifies multiple modes of operation (FSK, OQPSK
   and OFDM modulations) with speeds from 50kbps to 600kbps, and allows
   for transport of a full IPv6 packet (i.e., 1280 octets) without the
   need for upper layer segmentation and re-assembly.

   IEEE Std. 802.15.4e is an amendment to IEEE Std 802.15.4 that
   specifies additional media access control (MAC) behaviors and frame
   formats that allow IEEE 802.15.4 devices to support a wide range of
   industrial and commercial applications that were not adequately
   supported prior to the release of this amendment.  It is important to
   notice that 802.15.4e does not change the link-layer security scheme
   defined in the last two updates to 802.15.4 (e.g. 2006 and 2011

5.2.  IEEE PowerLine Communication (PLC) technology

   The IEEE Std. 1901.2 standard specifies communications for low
   frequency (less than 500 kHz) narrowband power line devices via
   alternating current and direct current electric power lines.  IEEE
   Std P1901.2 standard supports indoor and outdoor communications over
   low voltage line (line between transformer and meter, less than 1000
   V), through transformer low-voltage to medium-voltage (1000 V up to
   72 kV) and through transformer medium-voltage to low-voltage power

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   lines in both urban and in long distance (multi- kilometer) rural

   IEEE Std. 1901.2 defines the PHY layer and the MAC sub-layer of the
   data link layer.  The MAC sub-layer endorses a sub-set of 802.15.4
   and 802.15.4e MAC sub-layer features.

   IEEE Std. 1901.2 PHY Layer bit rates are scalable up to 500 kbps
   depending on the application requirements and type of encoding used.

   IEEE Std. 1901.2 MAC layer allows for transport of a full IPv6 packet
   (i.e., 1280 octets) without the need for upper layer segmentation and

   IEEE Std. 1901.2 specifies the necessary link-layer security features
   that fully endorse 802.15.4 MAC sub-layer security scheme.

6.  Using RPL to Meet Functional Requirements

   The functional requirements for most AMI deployments are similar to
   those listed in [RFC5548].  This section informallly highlights some
   of the similarities:

   o  The routing protocol MUST be capable of supporting the
      organization of a large number of nodes into regions containing on
      the order of 10^2 to 10^4 nodes each.

   o  The routing protocol MUST provide mechanisms to support
      configuration of the routing protocol itself.

   o  The routing protocol SHOULD support and utilize the large number
      of highly directed flows to a few head-end servers to handle

   o  The routing protocol MUST dynamically compute and select effective
      routes composed of low-power and lossy links.  Local network
      dynamics SHOULD NOT impact the entire network.  The routing
      protocol MUST compute multiple paths when possible.

   o  The routing protocol MUST support multicast and unicast
      addressing.  The routing protocol SHOULD support formation and
      identification of groups of field devices in the network.

   RPL supports the following features:

   o  Scalability: Large-scale networks characterized by highly directed
      traffic flows between each smart meter and the head-end servers in

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      the utility network.  To this end, RPL builds a Directed Acyclic
      Graph (DAG) rooted at each LBR.

   o  Zero-touch configuration: This is done through in-band methods for
      configuring RPL variables using DIO (DODAG Information Object)
      messages, and DIO message options [RFC6550].

   o  The use of links with time-varying quality characteristics: This
      is accomplished by allowing the use of metrics that effectively
      capture the quality of a path (e.g., Expected Transmission Count
      (ETX)) and by limiting the impact of changing local conditions by
      discovering and maintaining multiple DAG parents, and by using
      local repair mechanisms when DAG links break.

7.  RPL Profile

7.1.  RPL Features

7.1.1.  RPL Instances

   RPL operation is defined for a single RPL instance.  However,
   multiple RPL instances can be supported in multi-service networks
   where different applications may require the use of different routing
   metrics and constraints, e.g., a network carrying both SDM and DA

7.1.2.  DAO Policy

   Two-way communication is a requirement in AMI systems.  As a result,
   nodes SHOULD send DAO messages to establish downward paths from the
   root to themselves.

7.1.3.  Path Metrics

   Smart metering deployments utilize link technologies that may exhibit
   significant packet loss and thus require routing metrics that take
   packet loss into account.  To characterize a path over such link
   technologies, AMI deployments can use the Expected Transmission Count
   (ETX) metric as defined in [RFC6551].

   Additional metrics may be defined in companion RFCs.

7.1.4.  Objective Function

   RPL relies on an Objective Function for selecting parents and
   computing path costs and rank.  This objective function is decoupled
   from the core RPL mechanisms and also from the metrics in use in the
   network.  Two objective functions for RPL have been defined at the

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   time of this writing, OF0 [RFC6552] and MRHOF [RFC6719], both of
   which define the selection of a preferred parent and backup parents,
   and are suitable for AMI deployments.

   Additional objective functions may be defined in companion RFCs.

7.1.5.  DODAG Repair

   To effectively handle time-varying link characteristics and
   availability, AMI deployments SHOULD utilize the local repair
   mechanisms in RPL.  Local repair is triggered by broken link
   detection.  The first local repair mechanism consists of a node
   detaching from a DODAG and then re-attaching to the same or to a
   different DODAG at a later time.  While detached, a node advertises
   an infinite rank value so that its children can select a different
   parent.  This process is known as poisoning and is described in
   Section of [RFC6550].  While RPL provides an option to form a
   local DODAG, doing so in AMI for electric meters is of little benefit
   since AMI applications typically communicate through a LBR.  After
   the detached node has made sufficient effort to send notification to
   its children that it is detached, the node can rejoin the same DODAG
   with a higher rank value.  The configured duration of the poisoning
   mechanism needs to take into account the disconnection time
   applications running over the network can tolerate.  Note that when
   joining a different DODAG, the node need not perform poisoning.  The
   second local repair mechanism controls how much a node can increase
   its rank within a given DODAG Version (e.g., after detaching from the
   DODAG as a result of broken link or loop detection).  Setting the
   DAGMaxRankIncrease to a non-zero value enables this mechanism, and
   setting it to a value of less than infinity limits the cost of count-
   to-infinity scenarios when they occur, thus controlling the duration
   of disconnection applications may experience.

7.1.6.  Multicast

   Multicast support for RPL in non-storing mode are being developed in
   companion RFCs (see [RFC7731]).

7.1.7.  Security

   AMI deployments operate in areas that do not provide any physical
   security.  For this reason, the link layer, transport layer and
   application layer technologies utilized within AMI networks typically
   provide security mechanisms to ensure authentication,
   confidentiality, integrity, and freshness.  As a result, AMI
   deployments may not need to implement RPL's security mechanisms; they
   MUST include, at a minimum, link layer security such as that defined
   by IEEE 1901.2 and IEEE 802.15.4.

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7.2.  Description of Layer-two features

7.2.1.  IEEE 1901.2 PHY and MAC sub-layer features

   The IEEE Std. 1901.2 PHY layer is based on OFDM modulation and
   defines a time frequency interleaver over the entire PHY frame
   coupled with a Reed Solomon and Viterbi Forward Error Correction for
   maximum robustness.  Since the noise level in each OFDM sub-carrier
   can vary significantly, IEEE 1901.2 specifies two complementary
   mechanisms allowing to fine-tune the robustness/performance tradeoff
   implicit in such systems.  More specifically, the first (coarse-
   grained) mechanism, defines the modulation from several possible
   choices (robust (super-ROBO, ROBO), BPSK, QPSK,...).  The second
   (fine-grained) maps the sub-carriers which are too noisy and
   deactivates them.

   The existence of multiple modulations and dynamic frequency exclusion
   renders the problem of selecting a path between two nodes non-
   trivial, as the possible number of combinations increases
   significantly, e.g.  use a direct link with slow robust modulation,
   or use a relay meter with fast modulation and 12 disabled sub-
   carriers.  In addition, IEEE 1901.2 technology offers a mechanism
   (adaptive tone map) for periodic exchanges on the link quality
   between nodes to constantly react to channel fluctuations.  Every
   meter keeps a state of the quality of the link to each of its
   neighbors by either piggybacking the tone mapping on the data
   traffic, or by sending explicit tone map requests.

   IEEE 1901.2 MAC frame format shares most in common with the IEEE
   802.15.4 MAC frame format [IEEE802.15.4], with a few exceptions
   described below.

   o  IEEE 1901.2 MAC frame is obtained by prepending a Segment Control
      Field to the IEEE 802.15.4 MAC header.  One function of the
      Segment Control Field is to signal the use of the MAC sub-layer
      segmentation and reassembly.

   o  IEEE 1901.2 MAC frames uses only the 802.15.4 MAC addresses with a
      length of 16 and 64 bits.

   o  IEEE 1901.2 MAC sub-layer endorses the concept of Information
      Elements, as defined in [IEEE802.15.4e].  The format and use of
      Information Elements are not relevant to RPL applicability

   The IEEE 1901.2 PHY frame payload size varies as a function of the
   modulation used to transmit the frame and the strength of the Forward
   Error Correction scheme.

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   The IEEE 1901.2 PHY MTU size is variable and dependent on the PHY
   settings in use (e.g.  bandwidth, modulation, tones, etc).  As quoted
   from the IEEE 1901.2 specification: For CENELEC A/B, if MSDU size is
   more than 247 octets for robust OFDM (ROBO) and Super-ROBO
   modulations or more than 239 octets for all other modulations, the
   MAC layer shall divide the MSDU into multiple segments as described
   in 5.3.7.  For FCC and ARIB, if the MSDU size meets one of the
   following conditions: a) For ROBO and Super-ROBO modulations, the
   MSDU size is more than 247 octets but less than 494 octets, b) For
   all other modulations, the MSDU size is more than 239 octets but less
   than 478 octets.

7.2.2.  IEEE 802.15.4 (g + e) PHY and MAC features

   IEEE Std 802.15.4g defines multiple modes of operation, where each
   mode uses different modulation and has multiple data rates.
   Additionally, 802.15.4g PHY layer includes mechanisms to improve the
   robustness of the radio communications, such as data whitening and
   Forward Error Correction coding.  The 802.15.4g PHY frame payload can
   carry up to 2048 octets.

   The IEEE Std 802.15.4g defines the following modulations: MR-FSK
   (Multi- Rate FSK), MR-OFDM (Multi-Rate OFDM) and MR-O-QPSK (Multi-
   Rate O-QPSK).  The (over-the-air) bit rates for these modulations
   range from 4.8 to 600kbps for MR-FSK, from 50 to 600kbps for MR-OFDM
   and from 6.25 to 500kbps for MR-O-QPSK.

   The MAC sub-layer running on top of a 4g radio link is based on IEEE
   802.15.4e.  The 802.15.4e MAC allows for a variety of modes for
   operation.  These include:

   o  Timetimeslotslotted channel hopping (TSCH): specifically designed
      for application domains such as process automation

   o  Low latency deterministic networks (LLDN): for application domains
      such as factory automation

   o  Deterministic and synchronous multi-channel extension (DSME): for
      general industrial and commercial application domains that
      includes Channel diversity to increase network robustness

   o  Asynchronous multi-channel adaptation (AMCA): for large
      infrastructure application domains.

   The MAC addressing scheme supports short (16-bits) addresses along
   with extended (64-bits) addresses.  These addresses are assigned in
   different ways and is specified by specific standards organizations.

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   Information Elements, Enhanced Beacons and frame version 2, as
   defined in 802.15.4e, MUST be supported.

   Since the MAC frame payload size limitation is given by the 4g PHY
   frame payload size limitation (i.e.,2048 bytes) and MAC layer
   overhead (headers, trailers, Information Elements and security
   overhead), the MAC frame payload MUST able to carry a full IPv6
   packet of 1280 octets without upper layer fragmentation and re-

7.2.3.  IEEE MAC sub-layer Security Features

   Since IEEE 1901.2 standard is based on the 802.15.4 MAC sub-layer and
   fully endorses the security scheme defined in 802.15.4, we only focus
   on description of IEEE 802.15.4 security scheme.

   The IEEE 802.15.4 specification was designed to support a variety of
   applications, many of which are security sensitive.  The IEEE
   802.15.4 provides four basic security services: message
   authentication, message integrity, message confidentiality, and
   freshness checks to avoid replay attacks.

   The 802.15.4 security layer is handled at the media access control
   layer, below 6LowPAN layer.  The application specifies its security
   requirements by setting the appropriate control parameters into the
   radio/PLC stack.  The 802.15.4 defines four packet types: beacon
   frames, data frames, acknowledgments frame, and command frames for
   the media access control layer.  The 802.15.4 specification does not
   support security for acknowledgement frames; data frames, beacon
   frames and command frames can support integrity protection and
   confidentiality protection for the frames's data field.  An
   application has a choice of security suites that control the type of
   security protection that is provided for the transmitted MAC frame.
   Each security suite offers a different set of security properties and
   guarantees, and ultimately different MAC frame formats.  The 802.15.4
   specification defines eight different security suites, outlined
   bellow.  We can broadly classify the suites by the properties that
   they offer: no security, encryption only (AES-CTR), authentication
   only (AES-CBC-MAC), and encryption and authentication (AES-CCM).
   Each category that supports authentication comes in three variants
   depending on the size of the MAC (Message Authentication Control)
   that it offers.  The MAC can be either 4, 8, or 16 bytes long.
   Additionally, for each suite that offers encryption, the recipient
   can optionally enable replay protection.

   o  Null = No security.

   o  AES-CTR = Encryption only, CTR mode.

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   o  AES-CBC-MAC-128 = No encryption, 128-bit MAC.

   o  AES-CBC-MAC-64 = No encryption, 64-bit MAC.

   o  AES-CCM-128 = Encryption and 128-bit MAC.

   o  AES-CCM-64 = Encryption and 64-bit MAC.

   o  AES-CCM-32 = Encryption and 32-bit MAC.

   Note that AES-CCM-32 is the most commonly used cipher in these
   deployments today.

   To achieve authentication, any device can maintain an Access Control
   List (ACL) which is a list of trusted nodes from which the device
   wishes to receive data.  Data encryption is done by encryption of
   Message Authentication Control (MAC) frame payload using the key
   shared between two devices, or among a group of peers.  If the key is
   to be shared between two peers, it is stored with each entry in the
   ACL list; otherwise, the key is stored as the default key.  Thus, the
   device can make sure that its data can not be read by devices that do
   not possess the corresponding key.  However, device addresses are
   always transmitted unencrypted, which makes attacks that rely on
   device identity somewhat easier to launch.  Integrity service is
   applied by appending a Message Integrity Code (MIC) generated from
   blocks of encrypted message text.  This ensures that a frame can not
   be modified by a receiver device that does not share a key with the
   sender.  Finally, sequential freshness uses a frame counter and key
   sequence counter to ensure the freshness of the incoming frame and
   guard against replay attacks.

   A cryptographic MAC is used to authenticate messages.  While longer
   MACs lead to improved resiliency of the code, they also make packet
   size larger and thus take up bandwidth in the network.  In
   constrained environments such as metering infrastructures, an optimum
   balance between security requirements and network throughput must be

7.3.  6LowPAN Options

   AMI implementations based on 1901.2 and 802.15.4(g+e) can utilize all
   of the IPv6 Header Compression schemes specified in [RFC6282]
   Section 3 and all of the IPv6 Next Header compression schemes
   specified in [RFC6282] Section 4, if reducing over the air/wire
   overhead is a requirement.

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7.4.  Recommended Configuration Defaults and Ranges

7.4.1.  Trickle Parameters

   Trickle [RFC6206] was designed to be density-aware and perform well
   in networks characterized by a wide range of node densities.  The
   combination of DIO packet suppression and adaptive timers for sending
   updates allows Trickle to perform well in both sparse and dense
   environments.  Node densities in AMI deployments can vary greatly,
   from nodes having only one or a handful of neighbors to nodes having
   several hundred neighbors.  In high density environments, relatively
   low values for Imin may cause a short period of congestion when an
   inconsistency is detected and DIO updates are sent by a large number
   of neighboring nodes nearly simultaneously.  While the Trickle timer
   will exponentially backoff, some time may elapse before the
   congestion subsides.  While some link layers employ contention
   mechanisms that attempt to avoid congestion, relying solely on the
   link layer to avoid congestion caused by a large number of DIO
   updates can result in increased communication latency for other
   control and data traffic in the network.  To mitigate this kind of
   short-term congestion, this document recommends a more conservative
   set of values for the Trickle parameters than those specified in
   [RFC6206].  In particular, DIOIntervalMin is set to a larger value to
   avoid periods of congestion in dense environments, and
   DIORedundancyConstant is parameterized accordingly as described
   below.  These values are appropriate for the timely distribution of
   DIO updates in both sparse and dense scenarios while avoiding the
   short-term congestion that might arise in dense scenarios.  Because
   the actual link capacity depends on the particular link technology
   used within an AMI deployment, the Trickle parameters are specified
   in terms of the link's maximum capacity for transmitting link-local
   multicast messages.  If the link can transmit m link-local multicast
   packets per second on average, the expected time it takes to transmit
   a link-local multicast packet is 1/m seconds.

   DIOIntervalMin:  AMI deployments SHOULD set DIOIntervalMin such that
      the Trickle Imin is at least 50 times as long as it takes to
      transmit a link-local multicast packet.  This value is larger than
      that recommended in [RFC6206] to avoid congestion in dense urban
      deployments as described above.

   DIOIntervalDoublings:  AMI deployments SHOULD set
      DIOIntervalDoublings such that the Trickle Imax is at least 2
      hours or more.

   DIORedundancyConstant:  AMI deployments SHOULD set
      DIORedundancyConstant to a value of at least 10.  This is due to
      the larger chosen value for DIOIntervalMin and the proportional

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      relationship between Imin and k suggested in [RFC6206].  This
      increase is intended to compensate for the increased communication
      latency of DIO updates caused by the increase in the
      DIOIntervalMin value, though the proportional relationship between
      Imin and k suggested in [RFC6206] is not preserved.  Instead,
      DIORedundancyConstant is set to a lower value in order to reduce
      the number of packet transmissions in dense environments.

7.4.2.  Other Parameters

   o  AMI deployments SHOULD set MinHopRankIncrease to 256, resulting in
      8 bits of resolution (e.g., for the ETX metric).

   o  To enable local repair, AMI deployments SHOULD set MaxRankIncrease
      to a value that allows a device to move a small number of hops
      away from the root.  With a MinHopRankIncrease of 256, a
      MaxRankIncrease of 1024 would allow a device to move up to 4 hops

8.  Manageability Considerations

   Network manageability is a critical aspect of smart grid network
   deployment and operation.  With millions of devices participating in
   the smart grid network, many requiring real-time reachability,
   automatic configuration, and lightweight network health monitoring
   and management are crucial for achieving network availability and
   efficient operation.  RPL enables automatic and consistent
   configuration of RPL routers through parameters specified by the
   DODAG root and disseminated through DIO packets.  The use of Trickle
   for scheduling DIO transmissions ensures lightweight yet timely
   propagation of important network and parameter updates and allows
   network operators to choose the trade-off point they are comfortable
   with respect to overhead vs.  reliability and timeliness of network
   updates.  The metrics in use in the network along with the Trickle
   Timer parameters used to control the frequency and redundancy of
   network updates can be dynamically varied by the root during the
   lifetime of the network.  To that end, all DIO messages SHOULD
   contain a Metric Container option for disseminating the metrics and
   metric values used for DODAG setup.  In addition, DIO messages SHOULD
   contain a DODAG Configuration option for disseminating the Trickle
   Timer parameters throughout the network.  The possibility of
   dynamically updating the metrics in use in the network as well as the
   frequency of network updates allows deployment characteristics (e.g.,
   network density) to be discovered during network bring-up and to be
   used to tailor network parameters once the network is operational
   rather than having to rely on precise pre- configuration.  This also
   allows the network parameters and the overall routing protocol
   behavior to evolve during the lifetime of the network.  RPL specifies

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   a number of variables and events that can be tracked for purposes of
   network fault and performance monitoring of RPL routers.  Depending
   on the memory and processing capabilities of each smart grid device,
   various subsets of these can be employed in the field.

9.  Security Considerations

   Smart grid networks are subject to stringent security requirements as
   they are considered a critical infrastructure component.  At the same
   time, they are composed of large numbers of resource- constrained
   devices inter-connected with limited-throughput links.  As a result,
   the choice of security mechanisms is highly dependent on the device
   and network capabilities characterizing a particular deployment.

   In contrast to other types of LLNs, in smart grid networks
   centralized administrative control and access to a permanent secure
   infrastructure is available.  As a result, smart grid networks are
   deployed with security mechanisms such as link-layer, transport layer
   and/or application-layer security mechanisms; while it is best
   practice to secure all layers, using RPL's secure mode may not be
   necessary.  Failure to protect any of these layers can result in
   various attacks; without strong authentication of devices in the
   infrastructure can lead to uncontrolled and unauthorized access.
   Similarly, failure to protect the communication layers can enable
   passive (in wireless mediums) attacks as well as man-in-the-middle
   and active attacks.

   As this document describes the applicability of RPL non-storing mode,
   the security considerations as defined in [RFC6550] also applies to
   this document and to AMI deployments.

9.1.  Security Considerations during initial deployment

   During the manufacturing process, the meters are loaded with the
   appropriate security credentials (keys, certificates).  The
   configured security credentials during manufacturing are used by the
   devices to authenticate with the system and to further negotiate
   operational security credentials, for both network and application

9.2.  Security Considerations during incremental deployment

   If during the system operation a device fails or is known to be
   compromised, it is replaced with a new device.  The new device does
   not take over the security identity of the replaced device.  The
   security credentials associated with the failed/compromised device
   are removed from the security appliances.

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9.3.  Security Considerations based on RPL's Threat Analysis

   [RFC7416] defines a set of security considerations for RPL security.
   This document defines how it leverages the device's link layer and
   application layer security mechanisms to address the threats as
   defined in Section 6 of [RFC7416].

   Like any secure network infrastructure, an AMI deployment's ability
   to address node impersonation, active man-in-the-middle attacks
   relies on mutual authentication and authorization process.  The
   credential management from the manufacturing imprint of security
   credentials of smart meters to all credentials of nodes in the
   infrastructure, all credentials must be appropriately managed and
   classified through the authorization process to ensure beyond the
   identity of the nodes, that the nodes are behaving or 'acting' in
   their assigned roles.

   Similarly, to ensure that data has not been modified, confidentiality
   and integrity at the suitable layers (e.g. link layer, application
   layer or both) should be used.

   To provide the security mechanisms to address these threats, an AMI
   deployment MUST include the use of the security schemes as defined by
   IEEE 1901.2 (and IEEE 802.15.4).  With IEEE 802.15.4 defining the
   security mechanisms to afford mutual authentication, access control
   (e.g. authorization) and transport confidentiality and integrity.

10.  Privacy Considerations

   Privacy of information flowing through smart grid networks are
   subject to consideration.  An evolving a set of recommendations and
   requirements are deing defined by different groups and consortiums;
   for example, the U.S.  Department of Energy issued a document
   [DOEVCC] defining a process and set of recommendations to address
   privacy issues.  As this document describes the applicability of RPL,
   the privacy considerations as defined in
   [I-D.ietf-6lo-privacy-considerations] and [EUPR] apply to this
   document and to AMI deployments.

11.  IANA Considerations

   This memo includes no request to IANA.

12.  Acknowledgements

   Matthew Gillmore, Laurent Toutain, Ruben Salazar, and Kazuya Monden
   were contributors and noted as authors in earlier drafts.  The
   authors would also like to acknowledge the review, feedback, and

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   comments of Jari Arkko, Dominique Barthel, Cedric Chauvenet, Yuichi
   Igarashi, Philip Levis, Jeorjeta Jetcheva, Nicolas Dejean, and JP

13.  References

13.1.  Normative References

   [RFC2119]  Bradner, S., "Key words for use in RFCs to Indicate
              Requirement Levels", BCP 14, RFC 2119,
              DOI 10.17487/RFC2119, March 1997,

   [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,

              "IEEE Standard for Information technology-- Local and
              metropolitan area networks-- Specific requirements-- Part
              15.4: Wireless Medium Access Control (MAC) and Physical
              Layer (PHY) Specifications for Low Rate Wireless Personal
              Area Networks (WPANs)", IEEE Standard 802.15.4, September

              "IEEE Standard for Local and metropolitan area networks--
              Part 15.4: Low-Rate Wireless Personal Area Networks (LR-
              WPANs) Amendment 1: MAC sublayer", IEEE Standard
              802.15.4e, April 2012.

              "IEEE Standard for Local and metropolitan area networks--
              Part 15.4: Low-Rate Wireless Personal Area Networks (LR-
              WPANs) Amendment 3: Physical Layer (PHY) Specifications
              for Low-Data-Rate, Wireless, Smart Metering Utility
              Networks", IEEE Standard 802.15.4g, November 2012.

              "IEEE Standard for Low-Frequency (less than 500 kHz)
              Narrowband Power Line Communications for Smart Grid
              Applications", IEEE Standard 1901.2, December 2013.

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              Gungor, V., Sahin, D., Kocak, T., Ergut, S., Buccella, C.,
              Cecati, C., and G. Hancke, "A Survey on Smart Grid
              Potential Applications and Communication Requirements",
              Feb 2013.

13.2.  Informative references

   [RFC7731]  Hui, J. and R. Kelsey, "Multicast Protocol for Low-Power
              and Lossy Networks (MPL)", RFC 7731, DOI 10.17487/RFC7731,
              February 2016, <http://www.rfc-editor.org/info/rfc7731>.

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

   [RFC5548]  Dohler, M., Ed., Watteyne, T., Ed., Winter, T., Ed., and
              D. Barthel, Ed., "Routing Requirements for Urban Low-Power
              and Lossy Networks", RFC 5548, DOI 10.17487/RFC5548, May
              2009, <http://www.rfc-editor.org/info/rfc5548>.

   [RFC6206]  Levis, P., Clausen, T., Hui, J., Gnawali, O., and J. Ko,
              "The Trickle Algorithm", RFC 6206, DOI 10.17487/RFC6206,
              March 2011, <http://www.rfc-editor.org/info/rfc6206>.

   [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,

   [RFC6719]  Gnawali, O. and P. Levis, "The Minimum Rank with
              Hysteresis Objective Function", RFC 6719,
              DOI 10.17487/RFC6719, September 2012,

   [RFC6552]  Thubert, P., Ed., "Objective Function Zero for the Routing
              Protocol for Low-Power and Lossy Networks (RPL)",
              RFC 6552, DOI 10.17487/RFC6552, March 2012,

   [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,

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   [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,

              Thaler, D., "Privacy Considerations for IPv6 over Networks
              of Resource-Constrained Nodes", draft-ietf-6lo-privacy-
              considerations-03 (work in progress), September 2016.

   [DOEVCC]   "Voluntary Code of Conduct (VCC) Final Concepts and
              Principles", Jan 2015,

   [EUPR]     "Information for investors and data controllers", Jun
              2016, <https://ec.europa.eu/energy/node/1748>.

Authors' Addresses

   Nancy Cam-Winget (editor)
   Cisco Systems
   3550 Cisco Way
   San Jose, CA  95134

   Email: ncamwing@cisco.com

   Jonathan Hui
   3400 Hillview Ave
   Palo Alto, CA  94304

   Email: jonhui@nestlabs.com

   Daniel Popa
   Itron, Inc
   52, rue Camille Desmoulins
   Issy les Moulineaux  92130

   Email: daniel.popa@itron.com

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