异构无线传感网络最优簇首选择机制  

Optimal Cluster Head Selection Mechanism for Heterogeneous Wireless Sensor Networks

作　　者：徐世武[1] 

机构地区：[1]福建师范大学协和学院信息技术系,福州350117

出　　处：《计算机系统应用》2016年第1期187-191,共5页Computer Systems & Applications

基　　金：福建省教育厅A类科技项目(JA13368)

摘　　要：针对时间驱动的数据收集方式,考虑在异构无线传感器网络中,不同类型的传感器节点采集数据周期不同,节点初始能量异构的研究背景下,结合模糊逻辑原理,提出了一种新型的最优簇首选择机制OCHS.OCHS算法在选择簇首节点的时候,综合考虑节点采集数据周期不同,节点初始能量异构以及节点的分布密度,通过这些因素采用竞争的方式来选举最优的簇首集.成员节点则采用类勾股定理的方法,选择一条链路能耗最小的路径加入该簇.MATLAB仿真表明,OCHS算法能够有效的均衡网络节点能耗、延长整个网络的生存周期以及提高整个网络的稳定期.For time-driven data collection methods, a new optimal cluster head selection（OCHS） algorithm is proposed based on the principle of fuzzy logic, considering different data collection period and different initial energy for different nodes in heterogeneous Wireless Sensor Networks. In the choice of cluster head node, OCHS algorithm uses a competitive approach to select the optimal cluster heads considering the factor that nodes have different data collection period, different initial energy and distribution density. By adopting the method of the Pythagorean theorem, the member node selects a path with minimal energy consumption to join the cluster. Simulations were conducted using MATLAB software and the results show that OCHS algorithm can effectively balance the network nodes energy consumption, prolong the lifetime of the sensor network and improve the stability of the entire network.

关 键 词：异构无线传感器网络 动态分簇 时间驱动 模糊逻辑 能量均衡 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]