计算机工程2011，Vol.37Issue(12)：62-63,67,3.DOI:10.3969/j.issn.1000-3428.2011.12.021
基于模糊C-均值的无线传感器网络算法
Algorithm for Wireless Sensor Network Based on Fuzzy C-Means
摘要
Abstract
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.关键词
无线传感器网络/模糊C-均值/路由/簇Key words
Wireless Sensor Network(WSN)/ Fuzzy C-Means(FCM)/ route/ cluster分类
信息技术与安全科学引用本文复制引用
陈洁洁,蒋平..基于模糊C-均值的无线传感器网络算法[J].计算机工程,2011,37(12):62-63,67,3.基金项目
湖北省教育厅基金资助重大项目(Z200622002) （Z200622002）
