The decision fusion in the wireless network with possible transmission errors

Authors:
Yifan Xia;Fang Wang;Wen-Shuenn Deng
Affiliations:
Statistics School, Southwestern University of Finance and Economics, Chengdu 610074, China;College of Computer Science, Civil Aviation Flight University of China, Guanghan 618307, China;Department of Statistics, Tamkang University, 151 Ying-Chuang Road, Tamshui, New Taipei City 25137, Taiwan
Venue:
Information Sciences: an International Journal
Year:
2012

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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.