摘要
无线传感器网络节点的定位在特殊环境中有着广泛的应用,综合考虑节点定位的成本与覆盖率,采用逐步递增定位方法。针对节点递增式定位带来的累计误差问题,提出了基于蝙蝠算法的无线传感器网络节点定位,以改善节点在逐步递增过程中的定位精度。介绍了蝙蝠算法的具体实施过程以及如何应用在递增式定位技术中。仿真结果表明,运用蝙蝠算法可以减小定位误差,提高节点的定位精度。
Wireless Sensor Network node localization has a wide range of applications in a certain special environment.The cost and coverage rate of node localization was considered comprehensively and the incremental positioning method step by step was employed.Accumulative error is existent in the incremental localization,thus the Wireless Sensor Network node localization based on Bat Algorithm was proposed to improve the accuracy of incremental positioning step by step.Implementation process and the application of Bat Algorithm in Incremental positioning were also introduced.The simulation results show that node localization based on Bat Algorithm can reduce the positioning error and improve location accuracy.
作者
束仁义
沈晓波
葛先雷
蔡俊
SHU Renyi;SHEN Xiaobo;GE Xianlei;CAI Jun(School of Electrical and Information Engineering, Huainan Normal University, Huainan 232038 , Chin)
出处
《邵阳学院学报（自然科学版）》
2018年第2期26-32,共7页
Journal of Shaoyang University：Natural Science Edition
基金
安徽省高等学校自然科学重点项目(KJ2017A455)
淮南师范学院科研项目(2017xj79)
关键词
无线传感器网络
递增式定位
蝙蝠算法
Wireless Sensor Network
incremental localization
bat algorithm
