摘要
延长网络寿命并获得更好的监控质量是无线传感器网络成簇算法的重要性能指标.在分析现有主要成簇算法的基础上,提出一种适用于多级能量异构传感器网络的基于变异系数的成簇算法CVCA（COEFFICIENT OF VARIANCE CLUSTERING ALGORITHM）.算法中,节点根据通信范围内节点密集度和向心性、节点相对距离以及节点剩余能量、节点能量消耗速率等因素作为模糊决策因子,采用变异系数评价策略计算节点成为簇头的概率.所有节点轮流成为簇头,以分摊能量消耗.仿真实验结果表明,与现有主要聚簇算法相比,在多级能量异构环境下,新的成簇算法拥有更长的生存时间和更优的网络监测质量.
Prolonging network lifetime and obtaining better monitor quality are important performance indexes to the clustering algorithm for wireless sensor networks. Based on the analysis of the existing clustering algorithms, a fuzzy logic-based clustering algorithm which adapts to multi-level energy heterogeneous sensor networks was proposed. For this algorithm, node density and node concentric, node energy consumption rate, the distance from the base station and their own current residual energy as fuzzy decision factor, nodes decide the possibility of becoming cluster heads based on fuzzy evaluation strategy. All nodes take turns to become cluster heads to share energy consumption. Simulation results show that in multi-level energy heterogeneous sensor networks, compared with the existing algorithms, this new clustering algorithm can prolong the lifetime and has better network monitor quality.
作者
吴倩
Qian Wu(College of Fundamental Education,Sichuan Normal University,Chengdu 610068,China)
关键词
无线传感器网络
多级能量异构
变异系数
成簇算法
Wireless Sensor Network
Multi-level Energy Heterogeneous
Fuzzy Decision
Clustering Algorithm
