Energy efficient transmission protocol for distributed source coding in sensor networks

Zuoyin Tang, I. A. Glover, A. N. Evans, Jianhua He

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    Distributed source coding (DSC) has recently been considered as an efficient approach to data compression in wireless sensor networks (WSN). Using this coding method multiple sensor nodes compress their correlated observations without inter-node communications. Therefore energy and bandwidth can be efficiently saved. In this paper, we investigate a randombinning based DSC scheme for remote source estimation in WSN and its performance of estimated signal to distortion ratio (SDR). With the introduction of a detailed power consumption model for wireless sensor communications, we quantitatively analyze the overall network energy consumption of the DSC scheme. We further propose a novel energy-aware transmission protocol for the DSC scheme, which flexibly optimizes the DSC performance in terms of either SDR or energy consumption, by adapting the source coding and transmission parameters to the network conditions. Simulations validate the energy efficiency of the proposed adaptive transmission protocol.

    Original languageEnglish
    Title of host publication2007 IEEE International Conference on Communications, ICC'07
    PublisherIEEE
    Pages3870-3875
    Number of pages6
    ISBN (Print)1424403537, 9781424403530
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE International Conference on Communications, ICC'07 - Glasgow, Scotland, United Kingdom
    Duration: 24 Jun 200728 Jun 2007

    Publication series

    NameIEEE International Conference on Communications
    ISSN (Print)0536-1486

    Conference

    Conference2007 IEEE International Conference on Communications, ICC'07
    Country/TerritoryUnited Kingdom
    CityGlasgow, Scotland
    Period24/06/0728/06/07

    Keywords

    • Energy efficiency
    • Protocols
    • Source coding
    • Wireless sensor networks
    • Energy consumption
    • Distortion
    • Signal processing
    • Modeling
    • Active noise reduction
    • Noise generators

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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