To cooperate or not to cooperate: detection strategies in sensor networks

Michael A. Lexa, Chris J. Rozell, Sinan Sinanovic, Don H. Johnson

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

    Abstract

    This paper is an initial investigation into the following question: can cooperation among sensors in a sensor network improve detection performance in a simple hypothesis test? We analyze a simple cooperative system using the Kullback-Leibler (KL) discrimination distance and a quantity known as the information transfer ratio which is a ratio of KL distances. We discover that, asymptotically, gain over a non-cooperative system depends on the conditional KL distance. We conclude with an illustrative example which demonstrates that cooperation not only significantly improves performance but can also degrade it.
    Original languageEnglish
    Title of host publication2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
    Subtitle of host publicationProceedings
    Pages841-844
    Number of pages5
    Volume3
    DOIs
    Publication statusPublished - 2004

    Publication series

    Name2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
    PublisherIEEE
    Volume3
    ISSN (Electronic)1520-6149

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    Keywords

    • intelligent networks
    • detectors
    • information processing
    • testing
    • sensor fusion
    • information analysis
    • cooperative systems
    • degradation
    • sensor systems
    • system performance

    Cite this

    Lexa, M. A., Rozell, C. J., Sinanovic, S., & Johnson, D. H. (2004). To cooperate or not to cooperate: detection strategies in sensor networks. In 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings (Vol. 3, pp. 841-844). (2004 IEEE International Conference on Acoustics, Speech, and Signal Processing; Vol. 3). https://doi.org/10.1109/ICASSP.2004.1326676