TY - GEN
T1 - Optimal power allocation for distributed detection in wireless sensor networks
AU - Zhang, Xin
AU - Poor, H. Vincent
AU - Chiang, Mung
PY - 2006
Y1 - 2006
N2 - In distributed detection systems with wireless sensor networks, communication between sensors and a fusion center is not perfect due to interference and limited communication power of the sensors to combat noise. The problem of optimizing detection performance with imperfect communication between the sensors and the fusion center over wireless channels brings a new challenge to distributed detection. In this paper, a distributed detection system infrastructure is provided, and a multiaccess channel model is included to account for imperfect communication between the sensors and the fusion center. The J-divergence between the distributions of the detection statistic under different hypotheses is used as a performance criterion in order to provide a tractable analysis. Optimizing the performance (in terms of the J-divergence) under a total communication power constraint on the sensors is studied, and the corresponding optimal power allocation scheme is provided. It is interesting to see that, for the case with orthogonal channels, the power allocation can be solved by a weighted water-filling algorithm. Numerical results are used to illustrate the solution.
AB - In distributed detection systems with wireless sensor networks, communication between sensors and a fusion center is not perfect due to interference and limited communication power of the sensors to combat noise. The problem of optimizing detection performance with imperfect communication between the sensors and the fusion center over wireless channels brings a new challenge to distributed detection. In this paper, a distributed detection system infrastructure is provided, and a multiaccess channel model is included to account for imperfect communication between the sensors and the fusion center. The J-divergence between the distributions of the detection statistic under different hypotheses is used as a performance criterion in order to provide a tractable analysis. Optimizing the performance (in terms of the J-divergence) under a total communication power constraint on the sensors is studied, and the corresponding optimal power allocation scheme is provided. It is interesting to see that, for the case with orthogonal channels, the power allocation can be solved by a weighted water-filling algorithm. Numerical results are used to illustrate the solution.
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M3 - Conference contribution
AN - SCOPUS:84940657112
T3 - 44th Annual Allerton Conference on Communication, Control, and Computing 2006
SP - 1048
EP - 1057
BT - 44th Annual Allerton Conference on Communication, Control, and Computing 2006
PB - University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
T2 - 44th Annual Allerton Conference on Communication, Control, and Computing 2006
Y2 - 27 September 2006 through 29 September 2006
ER -