Power Allocation for Distributed Detection Systems in Wireless Sensor Networks With Limited Fusion Center Feedback
Xiaoxi Guo, Yuanyuan He, Saman Atapattu, Subhrakanti Dey, Jamie S Evans
IEEE Transactions on Communications | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | Published : 2018
We consider a distributed detection system for a wireless sensor network over slow-fading channels. Each sensor only has knowledge of quantized channel state information (CSI) which is received from the fusion center via a limited feedback channel. We then consider transmit power allocation at each sensor in order to maximize a J-divergence based detection metric subject to a total and individual transmit power constraints. Our aim is to jointly design the quantization regions of all sensors CSI and the corresponding power allocations. A locally optimum solution is obtained by applying the generalized Lloyd algorithm (GLA). To overcome the high computational complexity of the GLA, we then pr..View full abstract
Related Projects (2)
Awarded by Australian Research Council (ARC) Discovery Project
Awarded by ARC Discovery Early Career Researcher (DECRA) Award
This work is supported by the Australian Research Council (ARC) Discovery Project DP140101050, in part by the Melbourne School of Engineering of the University of Melbourne's Early Career Researcher Grant, and in part by the ARC Discovery Early Career Researcher (DECRA) Award DE160100020. The associate editor coordinating the review of this paper and approving it for publication was E. K. S. Au.