摘要
针对无线传感器网络节点定位的能量均衡问题,提出采用蜂窝结构GAF算法进行拓扑控制的基础上,使用改进的加权质心算法进行节点定位。该算法通过区域划分增加信标节点选择的有效性,通过对距离加权减少多径效应影响。性能分析和仿真结果表明该算法可构造良好的网络拓扑结构,均衡节点能耗,延长整个网络的生存周期,提高节点定位精度,在密集型网络中可获得良好的定位性能。
It proposed using the modified weighted centroid algorithm based on GAF topology control for node localization for balance ,.)f the energy consumption in wireless sensor networks. The algorithm can increase the effectiveness of the beacon nodes selection by division region,and can reduced the effect: of multipath effect through the distance weighted. The performance analysis and simulation results show that the algorithm can construet a good network topology, equilibrium energy consumption, extend the lifetime of the whole network,and improved node positioning accuracy. It can obtained good positioning performance in dense networks.
出处
《南昌大学学报(理科版)》
CAS
北大核心
2016年第5期436-439,444,共5页
Journal of Nanchang University(Natural Science)
基金
国家自然科学基金项目(61540055)
广西高校科学技术项目(KY2015LX479)
广西高校科学技术研究重点项目(ZD2014129)
贺州学院级项目(2014ZC24)
关键词
GAF算法
质心定位
拓扑控制
无线传感器网络
网络生存周期
GAF algorithm
centroid localization
topology control: wireless sensor networks
network lifetime