Error analyzing for RSSI-based localization in wireless sensor networks

Wanming Chen, Tao Mei, Lei Sun, Yumei Liu, Yangming Li, Shuai Li, Huawei Liang, Max Q.H. Meng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)


Analyzing the measuring errors of nodes using Received Signal Strength Indications (RSSI) method, such as the parameter error of RSSI theoretical model and the obstacle error between neighbor nodes, this paper proposed a localization algorithm based on analyzing of RSSI errors in wireless sensor networks called ERSSI. Based on the two errors mentioned, it got the online parameter changing method for RSSI theoretical model and reduced the effect of those small obstacles. We show by both theoretical analysis and simulations that this algorithm can get low localization errors when the size of obstacles is small.
Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Number of pages6
Publication statusPublished - 25 Sep 2008
Externally publishedYes
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008


Conference7th World Congress on Intelligent Control and Automation, WCICA'08


  • Errors analyzing
  • Localization algorithm
  • RSSI
  • Wireless sensor networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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