Distributed Inference in Wireless Sensor Networks: Some Recent Results

H Vincent Vincent Poort

doi:10.1109/ssp.2005.1628775

Abstract

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Distributed inference (e.g., detection, estimation, learning, etc.) is one of the primary applications of wireless sensor networks. This paper presents an overview of recent results by the author and co-workers in this area. The focus is on results in distributed learning and sensor scheduling, but some issues relating to energy efficiency are also discussed briefly

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