摘要
为进一步提高无线传感器网络节点的定位精度,提出一种基于改进人群搜索优化的无线传感器网络三点定位算法.首先设计一种三点估计未知节点坐标模型;然后利用该模型求取未知节点的坐标,并将计算出的节点位置作为人群搜索的初始位置;最后采用改进的人群搜索算法优化未知节点的位置.仿真结果表明,通过与已有的相关定位算法相比较,所提出算法具有更高的定位精度.
In order to increase the localization accuracy of unknown nodes, a localization algorithm of three points localization based on the improved seeker optimization algorithm（TPLSOA） for wireless sensor networks is proposed. In the TPLSOA, a three-point estimation node coordinate model is designed. The model is used to calculate the estimated coordinates of unknown nodes, and the calculated node position is taken as the initial position of the seeker optimization algorithm（SOA）. The improved SOA is employed to optimize the position of unknown nodes. The simulation results show that the proposed algorithm has higher localization accuracy in comparison with other localization algorithms.
作者
乔学工
王华倩
曹建
段亚青
QIAO Xue-gong WANG Hua-qian CAO Jian DUAN Ya-qing(College of Information Engineering, Taiyuan University of Technology, Jinzhong 030600, China Institute of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)
出处
《控制与决策》
EI
CSCD
北大核心
2017年第8期1518-1522,共5页
Control and Decision
基金
国家自然科学基金项目(51279122)
山西省自然科学基金项目(2012011013-5)
山西省软科学基金项目(2014041048-4)
