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EBRAR: Energy-balanced rate allocation and routing protocol for body area networks

    • Atlantic Technological University

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Citations (Scopus)

    Abstract

    In this work, we focus on Body Area Networks (BANs) for real-time data streaming applications, where the realtime nature of data streams is of critical importance for providing a useful and efficient sensorial feedback for the user while system lifetime should be maximized. Thus, bandwidth, throughput and energy efficiency of the communication protocol must be carefully optimized. In this paper, we present an Energy-Balanced Rate Allocation and Routing Protocol (EBRAR). EBRAR selects routes based on the residual energy, thus, instead of continuously routing data through an optimized (energy efficient) fixed path, the data is transported more intelligently and the burden of forwarding the data is more equally spread among the nodes. Another unique property of EBRAR is its ability to provide adaptive resource allocation. Our experimental results show that the proposed protocol performs well in terms of energy balance, network lifetime and utility.

    Original languageEnglish
    Title of host publication2012 IEEE Symposium on Computers and Communications, ISCC 2012
    Pages475-478
    Number of pages4
    DOIs
    Publication statusPublished - 2012
    Event17th IEEE Symposium on Computers and Communication, ISCC 2012 - Cappadocia, Turkey
    Duration: 1 Jul 2012 → 4 Jul 2012

    Publication series

    NameProceedings - IEEE Symposium on Computers and Communications
    ISSN (Print)1530-1346

    Conference

    Conference17th IEEE Symposium on Computers and Communication, ISCC 2012
    Country/TerritoryTurkey
    CityCappadocia
    Period1/07/12 → 4/07/12

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Balancing Energy Consumption
    • Body Area Networks
    • Energy Awareness
    • Lifetime
    • Optimal Solution
    • Rate Allocation

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