WSNs Node Localization Algorithm Based on Mobile Robot Assistance

被引：0
|
作者：
Chen, Xiaofei [1 ,2 ]
Zhang, Gang [1 ]
Lu, Chengling [1 ]
Cheng, Junhui [1 ]
机构：
[1] West Anhui Univ, Sch Elect & Photoelect Engn, Luan, Anhui, Peoples R China
[2] Anhui Polytech Univ, Anhui Key Lab Elect Drive & Control, Luan, Anhui, Peoples R China
来源：
PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018) | 2018年
关键词：
Mobile Robots; WSNs; GM-CKF; Collaborative Localization;
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：
Targeting node positioning of Wireless Sensor Networks(WSNs), a mobile-robots aided node positioning method is proposed. With strong calculation and motility of robots, and the transition from a traditional node-to-node communication and measurement to robot-node and node-node positioning, finally the mobile positioning is achieved. Taking the assistance of mobile robots and non-ideal Gaussian allocation noise caused by it into consideration, a modified Gaussian mixture Cubature Kalman Filter(GM-CKF) is put into practice and is used in the mixed node positioning model of mobile robots and wireless sensor network. The simulation result suggests that what we propose-a co-operational positioning method of mobile robots and WSNs makes position estimation possible, and GMCKF effectively increase the accuracy and stability.
引用
收藏
页码：1917 / 1921
页数：5
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