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In this paper, we investigate a class of distortion outage minimization problems for a wireless sensor network in the presence of an eavesdropper. The observation signals transmitted from the sensors to the fusion center (FC) are overheard by the eavesdropper. Both the FC and the eavesdropper reconstruct minimum mean squared error estimates of the physical quantity observed. We address the problem...
In this paper, we investigate the distortion outage minimization problem for a wireless sensor network (WSN) in the presence of an eavesdropper. The observation signals transmitted from the sensors to the fusion center (FC) are over-heard by the eavesdropper. Both the FC and the eavesdropper reconstruct minimum mean squared error (MMSE) estimates of the physical quantity observed. We address the problem...
We consider the problem of target tracking in wireless sensor networks where the observed system is assumed to progress respecting to a probabilistic state space model. We propose to improve the use of the quantized variational filtering (QVF) by jointly optimize the quantization level and estimate the path-loss between sensors. Recently, quantized variational filtering QVF has been proved to be adapted...
In emerging cognitive radio (CR) networks with spectrum sharing, the first cognitive task preceding any dynamic spectrum access is the sensing and identification of spectral holes in wireless environments. This paper develops a distributed compressed spectrum sensing approach for (ultra-)wideband CR networks. Compressed sensing is performed at local CRs to scan the very wide spectrum at practical...
We consider source geolocation based on range estimates from sensors with known coordinates. In a fading propagation environment, where a line-of-sight (LOS) path may be weak or essentially nonexistent, range estimates may have positive biases. We study this problem by considering a weighted least squares (WLS) location estimator, based on noisy range estimates, each of which is contaminated by additive...
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