Topology control algorithm based on overlapping clustering

Sensor nodes carry limited, generally irreplaceable, power sources. Therefore, sensor network must focus on power conservation. It is possible to extend the lifetime of a network by controlling its topology through clustering. Overlapping Clustering find its wide applications such as inter-cluster routing, topology discovery, node localization, and recovery from cluster head failure and so on. Topology control target tracking-oriented based on overlapping clustering in wireless sensor network is proposed in this paper. When a target move to the sensing filed, cluster heads is located by fuzzy clustering, and then these cluster heads invite their neighboring sensors to form a cluster. The trajectory of targets is estimated by maximum entropy clustering. Utilizing cluster technology can make good use of each sensor nodes´ limited energy and perform tasks coordinately.