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Relative localization in wireless sensor networks for measurement of electric fields under HVDC transmission lines.
Cui, Yong; Wang, Qiusheng; Yuan, Haiwen; Song, Xiao; Hu, Xuemin; Zhao, Luxing.
Afiliación
  • Cui Y; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. cuiyong@buaa.edu.cn.
  • Wang Q; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. wangqiusheng@buaa.edu.cn.
  • Yuan H; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. yhw@buaa.edu.cn.
  • Song X; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. songxiao@buaa.edu.cn.
  • Hu X; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. 18811435317@126.com.
  • Zhao L; High Voltage Department, China Electrical Power Research Institute, Beijing 100192, China. zhaolx@epri.sgcc.com.cn.
Sensors (Basel) ; 15(2): 3540-64, 2015 Feb 04.
Article en En | MEDLINE | ID: mdl-25658390
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes de Comunicación de Computadores / Sistemas de Información Geográfica / Tecnología de Sensores Remotos / Tecnología Inalámbrica País/Región como asunto: Asia Idioma: En Revista: Sensors (Basel) Año: 2015 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes de Comunicación de Computadores / Sistemas de Información Geográfica / Tecnología de Sensores Remotos / Tecnología Inalámbrica País/Región como asunto: Asia Idioma: En Revista: Sensors (Basel) Año: 2015 Tipo del documento: Article País de afiliación: China