基于模糊C-均值的无线传感器网络算法

摘要

在低功耗自适应集簇分层型协议算法的基础上,提出一种基于模糊C-均值的无线传感器网络算法.在簇形成阶段采用模糊C-均值方法根据基站预先指定的最优簇头个数Q,将整个传感器网络节点分成Q个簇,每个节点隶属于其中一个簇,在整个网络生命周期内,这个簇将固定不变.在新的一轮开始时,簇内簇头节点的选择基于节点的当前能量值.在数据传输阶段,在簇内通信采用单跳模式,簇间通信采用多跳模式.仿真实验表明,该算法具有可行性和有效性.%Based on Low-Energy Adaptive Clustering Hierarchy(LEACH) algorithm, a new algorithm for Wireless Sensor Network(WSN) based on Fuzzy C-Means(FCM) is proposed. In the cluster formation stage, the nodes in the wireless sensor network are divided into Q clusters. Each node belongs to one of the cluster. In the entire network life cycle, this cluster will be fixed. In the new round begin, the choose of cluster head node is based on the current energy value in a cluster. During the data transmission, the communication takes the single-hop in a cluster and multi-hop in inter-cluster. Simulation results show that the algorithm is rational and efficient.