摘要
研究无线传感器网络能量异构性问题,针对目前分簇算法主要集中于同构网络,且存在簇头选举机制不合理、网络稳定周期短、节点能耗不均衡等问题,为延长网络稳定周期,提高其在生命周期中所占比例,均衡各节点能量消耗,提出一种中心控制的能量异构分簇算法CHCA。算法采用虚拟节点的思想,通过原网络与虚拟网络间的映射与逆映射,改善簇头选举机制。仿真结果表明,提高了网络的稳定性,充分利用高级节点的能量,均衡了网络中各节点的能量消耗,算法可应用于能量异构的网络。
Energy heterogeneity in wireless sensor network was researched, Considering that clustering algorithms focus on homogeneous network at present, there are some problems of cluster head election mechanism, short stability period and imbalanced energy consumption. In order to prolong stability period, improve the proportion of stability period in network lifetime and balance energy consumption of each node, a CHCA algorithm was proposed. A virtual node thought was introduced with mapping and inverse mapping between network and virtual network, and a cluster head election mechanism was improved. The simulation results show, the stability of network is improved, energy resources is used efficiently while balancing energy consumption. The algorithm can be better used for energy heterogeneous network.
出处
《计算机仿真》
CSCD
北大核心
2012年第12期135-138,147,共5页
Computer Simulation
基金
2011年广东省科技计划项目(2011B020313019)
2010年广东省科技计划项目(2010B020315021)
关键词
无线传感器网络
分簇
能量
异构性
Wireless sensor network (WSV)
Clustering
Energy
Heterogeneity