Mobile Robots Assisted Target Tracking in Wireless Sensor Networks

被引:0
|
作者
Pham, Phuong L. [1 ]
Mai, Anh T. [1 ]
Commuri, Sesh [1 ]
机构
[1] Univ Oklahoma, Norman, OK 73019 USA
关键词
Mobile Robot; Target tracking; Kalman Filters; Wireless Sensor Networks; SELECTION; FILTER;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Target tracking using Wireless Sensor Networks (WSNs) is a widely studied application area. However, the available power at each sensor node and the energy required to transmit the sensed information to a network sink have limited the use of WSNs in target tracking applications. In this paper, the use of a mobile robot, working in conjunction with the WSN, to track a target is studied. The trilateration approach is used to detect the presence of the target and a Kalman Filter is used to estimate its location. An algorithm is proposed that enables the selection of a minimum number of sensor nodes to track the target and to determine the path of the mobile robot for efficient tracking. Theoretical proofs are developed to mathematically demonstrate the convergence of the target tracking algorithm.
引用
收藏
页码:1574 / 1578
页数:5
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