摘要
为了降低基于接收信号强度(Received signal strength Index,RSS)测距误差对节点定位的影响,解决基于RSS测距定位误差较大的问题,提出了基于优化RSS测距的平方最小平方定位算法(Square-least Square localization algorithm based on improved RSS,SLS-I-RSS)。SLS-I-RSS算法先通过多组锚节点间的距离和接收功率作为参考,降低基于RSS测距误差,然后再建立定位优化问题,并将定位优化问题转成规则化信任区域子问题,最后,再利用拉格朗日优化算法求解优化问题。实验结果表明,提出的SLS-I-RSS算法能够有效地降低定位误差,比传统的基于RSS定位算法减少了约12%~20%,但算法复杂度略有增加。
In order to minimize influence of measurement error of RSS on localization precision of node and to solve significant localization error of traditional RSS algorithm,Square-least Square localization algorithm based on improved RSS(SLS-I-RSS)is proposed in this paper.In SLS-I-RSS,firstly,RSS algorithm is improved by the reference of distances and the received powers among anchor nodes,and it reduces RSS range finding error.Then,the Square-least Square localization function is constructed.Finally,the solution of the function is done by Lagrangian optimization.Simulation results show that the proposed SLS-I-RSS algorithm reduces at least about 12%to 20%in average localization error compared with traditional localization based on RSSI range finding algorithm,but the complexity of the algorithm is also increasing.
作者
杨颖辉
杨群亭
高铁杠
YANG Ying-hui;YANG Qun-ting;GAO Tie-gang(School of Information and Electronic Engineering,Henan University of Animal Husbandry and Economy,Zhengzhou 450045,China;College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China;College of Software,Nankai University,Tianjin 300071,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第12期30-34,共5页
Fire Control & Command Control
基金
天津市自然科学基金(11JCZDJC16000)
河南省科技厅科技发展计划基金资助项目(152400410521)
关键词
接收信号强度
最小平方
拉格朗日优化算法
定位
无线传感网络
received signal strength
least-squares
Lagrangian optimization
localization
wireless sensor networks
