Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks

VIP专享 2021-02-09 14:04:17 189KB PDF
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Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. However, some variants of decision rules such as Voting, Bayes Criterion, and Neyman-Pearson require a priori knowledge on the probability of targets presence which is still an open issue in detection theory. In this paper, we propose a binary decision fus

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