Adaptive remote signal coding and recovery in wireless sensor networks

Z. Tang, I. A. Glover, D. M. Monro, J. He

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

    1 Citation (Scopus)

    Abstract

    Distributed source coding has been viewed as an important and challenging technique for the problem of signal recovery in wireless sensor networks, due to limited network bandwidth, processing capability and power. In this paper, the problem of signal recovery in wireless sensor networks is studied by leverage of side information and distributed source coding. The available bandwidth and packet loss rate are assumed to be changing in the delivery path from remote sensors to sink. We first analyze the impact of quantization, random binning and transmission on the quality of estimated signal. Then we propose an adaptive control scheme to trade off bandwidth on quantization, random binning and transmission under specific network scenarios. Numerical results validate the effectiveness of the proposed adaptive control scheme on minimizing system distortion.

    Original languageEnglish
    Title of host publicationProceedings - 2004 12th IEEE International Conference on Networks, ICON 2004 - Unity in Diversity
    EditorsH.-K. Pung, F.B.-S. Lee, C.-K. Tham, S. Kuttan
    PublisherIEEE
    Pages655-659
    Number of pages5
    ISBN (Print)078038783X
    DOIs
    Publication statusPublished - 2004
    Event2004 12th IEEE International Conference on Networks, ICON 2004 - Unity in Diversity - , Singapore
    Duration: 16 Nov 200419 Nov 2004

    Publication series

    NameProceedings - IEEE International Conference on Networks, ICON
    Volume2
    ISSN (Print)1531-2216

    Conference

    Conference2004 12th IEEE International Conference on Networks, ICON 2004 - Unity in Diversity
    CountrySingapore
    Period16/11/0419/11/04

    Keywords

    • Intelligent networks
    • Wireless sensor networks
    • Bandwidth
    • Estimation
    • Sensor phenomena and characterization
    • Source coding
    • Signal processing
    • Remote sensing
    • Quantization
    • Adaptive control

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