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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/75177

    Title: The decision fusion in the wireless network with possible transmission errors
    Authors: Xia, Yifan;Wang, Fang;Deng, Wen-Shuenn
    Contributors: 淡江大學統計學系
    Keywords: Transmission error probability;Channel fading;Decision fusion;Optimal sensor compression rule;Bayesian cost;Likelihood ratio test method
    Date: 2012-09
    Issue Date: 2012-03-13 14:38:18 (UTC+8)
    Publisher: Philadelphia: Elsevier Inc.
    Abstract: In a wireless sensor network, a fusion center may receive incorrect information from local sensors, with some probabilities of transmission errors, due to channel fading. To cope with such a problem, we generalize the likelihood-ratio-test method of Chen and Willett (2005) [7] and derive optimal local sensor compression rules that minimize the Bayesian cost under a given fusion rule and transmission error probabilities. Our proposed method is able to operate without conditional independence between sensor data, which is often required by existing methods. Numerical examples are also used to validate the performance through receiver operating characteristics curves. These examples highlight the interesting features of our method compared to those in ideal situations.
    Relation: Information Sciences 199, pp.193–203
    DOI: 10.1016/j.ins.2012.02.044
    Appears in Collections:[Graduate Institute & Department of Statistics] Journal Article

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