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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)210-217
Number of pages8
JournalJournal of Beijing Institute of Technology (English Edition)
Volume30
DOIs
Publication statusPublished - Jun 2021

Keywords

  • Iterative filtering
  • Multi-barycenter localization
  • Received signal strength indication (RSSI)
  • Wireless sensor networks (WSNs)

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