Multi-barycenter Nodes Localization Method in Wireless Sensor Network Based on Improved RSSI

Shenghua Fu*, Wenzhong Lou, Jingkui Wang, Tong'an Ji, Weitong Liu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

7 引用 (Scopus)

摘要

In order to improve the accuracy of nodes in wireless sensor networks (WSNs). An multi-barycenter localization algorithm based on improved received signal strength indication (RSSI) ranging is proposed. The algorithm first optimizes the RSSI values by the iterative filtering, the distance values of WSNs nodes could be more accurately calculated. And then a multi-barycenter algorithm is introduced to optimize the trilateral localization. The simulation results show that the algorithm can improve the positioning accuracy by 30% compared with the traditional trilateral localization algorithm. Finally, through the localization test of 5 WSN nodes, the measured localization deviation of the WSN nodes is controlled at about 2 m when the distance of sensor node is 80 m. The proposed method could improve localization accuracy effectively without increasing computing resources.

源语言英语
页(从-至)210-217
页数8
期刊Journal of Beijing Institute of Technology (English Edition)
30
DOI
出版状态已出版 - 6月 2021

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