Topology control algorithm based on overlapping clustering
Dongmei Yan, JinKuan Wang Li Liu, Bin Wang, Peng Min Xu · 2010
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.