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IoT 16(5): e3

Research Article

MT-RPL: a cross-layer approach for mobility support in RPL

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  • @ARTICLE{10.4108/eai.1-12-2016.151712,
        author={Cosmin Cob\~{a}rzan and Julien Montavont and Thomas No\`{\i}l},
        title={MT-RPL: a cross-layer approach for mobility support in RPL},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={2},
        number={5},
        publisher={EAI},
        journal_a={IOT},
        year={2016},
        month={12},
        keywords={Internet of Things, RPL, Dynamics, Mobility, Reproducible Experiments},
        doi={10.4108/eai.1-12-2016.151712}
    }
    
  • Cosmin Cobârzan
    Julien Montavont
    Thomas Noël
    Year: 2016
    MT-RPL: a cross-layer approach for mobility support in RPL
    IOT
    EAI
    DOI: 10.4108/eai.1-12-2016.151712
Cosmin Cobârzan1, Julien Montavont1,*, Thomas Noël1
  • 1: ICube laboratory (UMR CNRS 7357), University of Strasbourg, France
*Contact email: montavont@unistra.fr

Abstract

Low Power and Lossy Networks (LLNs) are inherently dynamic - nodes move or experience link perturbations. Routing packets in LLNs is generally performed by the IETF IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). To face the dynamics of LLN, RPL is helped by external mechanisms such as Neighbor Unreachability Detection (NUD) or Bidirectional Forwarding Detection (BFD). In this article, we focus our analysis on mobility support. We first show that NUD and BFD fail to mitigate node disconnection. We therefore propose a new cross-layer protocol operating between the MAC and routing layers known as Mobility-Triggered RPL (MT-RPL). MT-RPL has been implemented in Contiki OS and is evaluated together with NUD and BFD through an extensive experimentation campaign. Results show that our solution significantly reduces the disconnection time, which increases the packet delivery ratio from the mobile node to the root and reduces control traffic in the network.

Keywords
Internet of Things, RPL, Dynamics, Mobility, Reproducible Experiments
Received
2016-03-17
Accepted
2016-06-21
Published
2016-12-01
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-12-2016.151712

Copyright © 2016 Cosmin Cobârzan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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