Power Allocation for Multi-Target Multi-Fusion-Rule Sensor Networks

In this paper we study a wireless passive sensor network. The sensors are deployed to estimate the true values of multiple active target signals. The sensors forward their observation to a fusion center, which processes the observation of each sensor by a set of fusion rules. One achievement of this paper is proposing an unbiased estimator with minimized variance of errors. To do so, we optimize both the power allocation to the sensor nodes and the fusion rules. The optimal solution to the fusion rules are attained analytically, while the power allocation is solved sub-optimally. Finally, our results are reinforced by numerical simulations.