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Author(s):
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Sheng Wang, Tsinghua University ; Xue Wang, Tsinghua University; Yong Wang, Tsinghua University; Xinyao Sun, Tsinghua University
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Abstract:
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Target localization and tracking are important tasks addressed in WSN, which are also big challenges because the resources of WSN, such as computation, storage, communication bandwidth, are highly restricted. A distributed lightweight particle filter algorithm is proposed to achieve robust target tracking with low resource requirement in the WSN which consists of many acoustic sensor nodes. In the proposed algorithm, each sensor node carries out partial particle filter with its local data and the neighbor nodes? data in distributed manner. Then local results of selected sensor nodes are fused to make final decision. To simplify the computation of particle filter, lightweight sampling and resampling schemes are introduced, where a simple range-free algorithm is adopted to restrict potential area of target?s location. The experimental results verify that the proposed distributed lightweight particle filter algorithm can effectively achieve target tracking in WSN with low resource consumption. Compared to previous target localization algorithms, such as maximum likelihood estimation and centralized particle filter, the proposed algorithm has outstanding performance in accurate target tracking and low resources consumption.
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