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This paper proposes a new interval modulated target sensing scheme for energy restraint wireless sensor networks. While most of recent researches assume a time invariant sensing interval, our proposed sensing scheme considers the selection of sensing sensors and the modulation of sensing intervals at the same time. We utilize particle filter algorithm to get the predicted target state, which is used...
Target tracking is an important task addressed in wireless sensor network (WSN), because the resources of WSN are limited. A distributed lightweight particle filter algorithm is proposed to achieve robust target tracking with low resource requirement in the WSN consisting of acoustic sensor nodes. In the proposed algorithm, each sensor node carries out partial particle filter with its local data and...
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