Clustering Algorithm based on Fuzzy Weight for Wireless Sensor Networks
Teng Gao, Jinyan Song, Dequan Wang, Jinhua Ding, Zhen-Yuan Si · 2015
Because of the non-uniform cluster-head election in the classical clustering algorithm, some nodes maybe exhaust energy prematurely so that it is not fit for large-scale wireless sensor networks(WSNs).In this paper, a distributed clustering routing algorithm based on fuzzy weight attribute degree(FWAD) is proposed.The direct methodology of fuzzy engineering theory is adopted to assign relevant weight to each parameter by taking all parameters into account synthetically, which makes each node calculates its own attribute value.The attribute value will be mapped to the time coordinate axis so that the node can broadcast cluster head information by means of timer triggering, meanwhile, the density method is adopted to avoid collisions and to ensure the symmetrical distributing of the cluster-head.Multi-hop is adopted to forward aggregate data to the sink.Simulations denote that FWAD algorithm has longer lifetime and better expansibility than LEACH-like algorithms.