title: Relative localization in wireless sensor networks for measurement of electric fields under HVDC transmission lines.
abstract: In the wireless sensor networks (WSNs) for electric field measurement system under the High-Voltage Direct Current (HVDC) transmission lines, it is necessary to obtain the electric field distribution with multiple sensors. The location information of each sensor is essential to the correct analysis of measurement results. Compared with the existing approach which gathers the location information by manually labelling sensors during deployment, the automatic localization can reduce the workload and improve the measurement efficiency. A novel and practical range-free localization algorithm for the localization of one-dimensional linear topology wireless networks in the electric field measurement system is presented. The algorithm utilizes unknown nodes' neighbor lists based on the Received Signal Strength Indicator (RSSI) values to determine the relative locations of nodes. The algorithm is able to handle the exceptional situation of the output permutation which can effectively improve the accuracy of localization. The performance of this algorithm under real circumstances has been evaluated through several experiments with different numbers of nodes and different node deployments in the China State Grid HVDC test base. Results show that the proposed algorithm achieves an accuracy of over 96% under different conditions.
authors: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. cuiyong@buaa.edu.cn.
authors: Yong
authors: Y
authors: Cui
authors: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. wangqiusheng@buaa.edu.cn.
authors: Qiusheng
authors: Q
authors: Wang
authors: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. yhw@buaa.edu.cn.
authors: Haiwen
authors: H
authors: Yuan
authors: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. songxiao@buaa.edu.cn.
authors: Xiao
authors: X
authors: Song
authors: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. 18811435317@126.com.
authors: Xuemin
authors: X
authors: Hu
authors: High Voltage Department, China Electrical Power Research Institute, Beijing 100192, China. zhaolx@epri.sgcc.com.cn.
authors: Luxing
authors: L
authors: Zhao
mesh_terms: D000465:Algorithms; D002681:China; D003195:Computer Communication Networks; D004560:Electricity; D004574:Electromagnetic Fields; D040362:Geographic Information Systems; D058998:Remote Sensing Technology; D012815:Signal Processing, Computer-Assisted; D059015:Wireless Technology