Optimization of Monte Carlo mobile node localization algorithm based on least squares fitting

被引：0
|
作者：
Xia Lei [1 ]
Tan Zhi [1 ]
Liang LiWen [1 ]
机构：
[1] Beijing Univ Civil Engn & Architecture Elect & In, Beijing 100044, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
The mobile node localization; Monte Carlo; Least squares fitting;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Use of node mobility to help locate, giving wireless sensor network localization problem provides a new way of thinking. In order to overcome the Monte Carlo localization algorithm localization accuracy is low, inaccurate positioning of defect, this paper proposes an optimization of Monte Carlo mobile node localization algorithm based on least squares fitting. The node trajectory is forecasted by using the least-squares fitting algorithm, the node weight information is used to calculate the unknown node. The simulation results show that, compared with the traditional method, the positioning accuracy of the algorithm is significantly improved.
引用
收藏
页码：3630 / 3634
页数：5
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