Distributed Inference in Wireless Sensor Networks: Some Recent Results
H. Vincent Poor · IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 · 2005
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