Terminology for Constrained-Node Networks
draft-bormann-lwig-7228bis-01
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LWIG Working Group C. Bormann
Internet-Draft Universitaet Bremen TZI
Intended status: Informational M. Ersue
Expires: November 2, 2017 Nokia Solutions and Networks
A. Keranen
Ericsson
C. Gomez
UPC/i2CAT
May 01, 2017
Terminology for Constrained-Node Networks
draft-bormann-lwig-7228bis-01
Abstract
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
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Bormann, et al. Expires November 2, 2017 [Page 1]
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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 . . . . . . 12
5. Classes of Networks . . . . . . . . . . . . . . . . . . . . . 14
5.1. Classes of link layer MTU size . . . . . . . . . . . . . 14
5.2. Class of Internet Integration . . . . . . . . . . . . . . 15
5.3. Classes of physical layer bit rate . . . . . . . . . . . 16
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 17
7. Security Considerations . . . . . . . . . . . . . . . . . . . 17
8. Informative References . . . . . . . . . . . . . . . . . . . 17
Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . 21
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 21
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
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