期刊文献+

基于天牛须搜索优化的室内定位算法 被引量:7

Indoor Location Algorithm Based on the Search Optimization of the Beetle
下载PDF
导出
摘要 室内定位技术受到广泛的关注,基于接受信号强度指示(RSSI)的测距技术目前在节点定位中得到广泛应用.在基于RSSI测距的基础上,提出将天牛须搜索优化(BAS)算法应用到室内定位中.首先通过RSSI测距获得未知节点与锚节点之间的距离,在计算距离时对数据进行了预处理,从而提高测距的精度.然后引入BAS算法计算出未知节点的位置坐标.通过与粒子群定位算法(PSO)和遗传定位算法(GA)对比试验结果,验证了BAS定位算法对室内定位效率的提高更加明显. Indoor positioning technology has received wide attention.The distance measurement technology based on Received Signal Strength Indication(RSSI)is widely used in node location.On the basis of RSSI ranging,we apply the Beetle Antennae Search(BAS)algorithm to indoor location.Firstly,the distance between the unknown node and the anchor node is obtained by RSSI ranging.The data is preprocessed when calculating the distance,so the accuracy of ranging is improved.Then the BAS algorithm is used to calculate the position coordinates of the unknown node.The experimental results were compared with PSO localization algorithm andGA localization algorithm,It is verified that the BAS positioning algorithm is more effective in improving indoor positioning efficiency.
作者 邹东尧 陈鹏伟 刘宽 ZOU Dongyao;CHEN Pengwei;LIU Kuan(College of Computer&Communication Engineering,Zhengzhou University of Light Industry,Zhengzhou 450001,China)
出处 《湖北民族学院学报(自然科学版)》 CAS 2018年第4期427-431,455,共6页 Journal of Hubei Minzu University(Natural Science Edition)
基金 河南省高等学校重点科研项目(15A520109) 河南省科技攻关项目(172102210064)
关键词 天牛须搜索算法 室内定位 接受信号强度指示 Beetle Antennae Search indoor positioning Received Signal Strength Indication
  • 相关文献

参考文献8

二级参考文献81

共引文献66

同被引文献81

引证文献7

二级引证文献54

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部