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The prime motivation of our work is to balance the inherent trade-off between the resource consumption and the accuracy of the target tracking in wireless sensor networks. Toward this objective, the study goes through three phases. First, a cluster-based scheme is exploited. At every sampling instant, only one cluster of sensors that located in the proximity of the target is activated, whereas the...
A hybrid signal processing scheme is proposed for distributed multi-target tracking (MTT). For the sake of resource efficiency in a wireless sensor network (WSN), we reduce the problem to parallel cluster-based single target tracking when the targets are far apart, and switch to MTT only when data association becomes ambiguous. A sequential monte carlo method is employed to assign the ambiguous observations...
An efficient, economical and robust strategy for target tracking in binary sensor network is proposed in this paper. By adopting the binary variational filtering algorithm, considerable tracking quality is ensured, while decreasing communication between sensors compared to a particle filtering algorithm. Based on the proactive clustering, the entire sensor network is subdivided into several clusters...
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