• DocumentCode
    159715
  • Title

    An Energy Efficient and Reliable Composite Metric for RPL Organized Networks

  • Author

    Capone, S. ; Brama, Riccardo ; Accettura, Nicola ; Striccoli, Domenico ; Boggia, Gennaro

  • Author_Institution
    CMC s.r.l., Carovigno, Italy
  • fYear
    2014
  • fDate
    26-28 Aug. 2014
  • Firstpage
    178
  • Lastpage
    184
  • Abstract
    In the recent past, we witnessed to a dramatic growth of networks with a huge number of interconnected wireless nodes exchanging large amounts of information. This has brought to the need of ad-hoc, energy-aware protocols suitable for low-power and lossy networks. Among these, Routing Protocol for Low Power and Lossy Networks (RPL) is surely one of the most interesting ones. It chooses the optimal routes from a source to a destination node, based on specific metrics. In this work we present a RPL compliant composite metric that considers both reliability and energy. Its aim is twofold. First, it realizes energy consumption balancing, so that each node tends to consume the same amount of energy of all the others, thus prolonging the overall network lifetime. Second, it takes into account data reliability along the paths, expressed by the well known Expected Transmission Count (ETX). The effectiveness of the proposed metric is confirmed by some interesting simulation results, that strongly encourage a deeper investigation on this issue.
  • Keywords
    radio networks; routing protocols; telecommunication network reliability; ETX; RPL organized networks; ad-hoc networks; data reliability; energy aware protocols; energy consumption; expected transmission count; interconnected wireless nodes; low power and lossy networks; optimal routes; reliable composite metric; Batteries; Energy consumption; Measurement; Reliability; Routing; Routing protocols; Wireless sensor networks; Energy Efficient; Metric; RPL; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Ubiquitous Computing (EUC), 2014 12th IEEE International Conference on
  • Conference_Location
    Milano
  • Type

    conf

  • DOI
    10.1109/EUC.2014.33
  • Filename
    6962283