A robust wireless sensor network localization algorithm in NLOS environment

Jianping Xing*, Jun Zhang, Lei Jiao, Xuan Zhang, Chaoli Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

Abstract

Reliable location estimation is an essential and fundamental issue for wireless sensor network. In order to find a localization algorithm robust to non-line-of-sight (NLOS) propagation errors in sensor network system, we analyzed some latest localization algorithms. Considering the application environments of the network, the energy consumption of nodes, the amount of computation and the location accuracy, we present a novel localization algorithm with the method of Select Residual Weighting (SRwgh). SRwgh algorithm can reject the range measurements with large errors to improve the localization performance without identifying the NLOS error(s) or knowing channel characters. When the number of range measurements is larger than 4, this algorithm needs less amount of computation than that of conventional Residual Weighting Algorithm and gets almost the same performance. The algorithm is compared with three other generic algorithms. The performance of the algorithms is test by simulation in both indoor and outdoor environments. Simulation results show that it is robust to the NLOS error(s) and provides quite well location accuracy.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Control and Automation, ICCA
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3244-3249
Number of pages6
ISBN (Print)1424408180, 9781424408184
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Control and Automation, ICCA - Guangzhou, China
Duration: 30 May 20071 Jun 2007

Publication series

Name2007 IEEE International Conference on Control and Automation, ICCA

Conference

Conference2007 IEEE International Conference on Control and Automation, ICCA
Country/TerritoryChina
CityGuangzhou
Period30/05/071/06/07

Keywords

  • Localization
  • SRwgh
  • TOA
  • WSN

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