Energy Efficient Multi-Target Clustering Algorithm for WSN-Based Distributed Consensus Filter

In this paper. we concentrate on multi-target fusion and tracking problems in wireless sensor network (WSN) based on distributed clustering consensus filter. In particular, for the sake of the network lifetime and the tracking accuracy in multi-target cases, a distributed target-based clustering algorithm is proposed, which consists of the cluster member selection, the cluster head competition and the clustered topology optimization. It is noted that energy consumption and target association are both considered in each step of the algorithm, which leads to a remarkable improvement of the network lifetime and ensures the performance of distributed filter as well. Effectiveness of the algorithm is demonstrated by numerical simulations and experiments.