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In this paper, a novel method for mobile sensor node tracking using semi-supervised Hidden Markov Models (HMM) is discussed. A new methodology to develop a combined attenuation model from data gathered from multiple sensors is also described. Observations emitted from the nodes are sparsely measured over the network area with beacons placed on the boundaries. HMMs are trained using observations measured...
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