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Motivated by the fact that system parameter mismatch occurs in real-world sensing environments, this paper addresses power allocation for robust distributed Best-Linear-Unbiased-Estimation (BLUE) that takes account of the uncertainty in the local sensing noise variance. We adopt the Bayesian philosophy, wherein the sensing noise variance follows a statistical distribution widely used in the literature,...
This study presents several schemes for adaptively allocating the number of ultra wideband (UWB) pulses used by each node within a wireless sensor network (WSN) in such a way as to enhance the detection performance while simultaneously satisfying a constraint imposed on the maximum number of pulses consumed. The study focuses on WSNs in which the data communications take place over multipath fading...
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