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An improved particle swarm optimization algorithm for wireless sensor networks localization

  • Xinyi Hu*
  • , Shuo Shi
  • , Xuemai Gu
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

According to the common phenomenon that accuracy of range-based location algorithm for WSN could not satisfy the requirement of location accuracy, PSO algorithm is introduced into localization for WSN. Meantime, to solve the premature convergence problem of PSO, improved algorithms with hybrid and mutation operators are proposed, leading to obtain a high level of particle population diversity, decrease the possibility of falling into local optima and improve location accuracy for WSN finally. The simulation results show that HPSO and MPSO have a better performance in localization than basic PSO algorithm. Moreover, evaluating the accuracy and convergence, HMPSO, who is combined with HPSO and MPSO, is an efficient solution to location problems for WSN.

Original languageEnglish
Title of host publication2012 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012 - Shanghai, China
Duration: 21 Sep 201223 Sep 2012

Publication series

Name2012 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012

Conference

Conference2012 8th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2012
Country/TerritoryChina
CityShanghai
Period21/09/1223/09/12

Keywords

  • Hybrid and mutation
  • Localization
  • PSO
  • WSN

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