Dynamic differential evolution strategy localization for Wireless Sensor Networks in three-dimensional space

Shuaishuai Zhao, Sencun Chai*, Baihai Zhang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Wireless Sensor Networks (WSNs) have been widely used in many different environments. The positioning accuracy of sensors node are the essential parameters for various applications such as target detection and tracking system, traffic management, intelligent transportation and many other applications. A localization algorithm based on dynamic differential evolution strategy (DDES-L) is proposed. In order to improve the convergence rate and positioning accuracy, the previous position information of sensors have been used as vital anchor nodes. The distance measurement noise is also considered in this work. To illustrate the effectiveness and the efficiency of the proposed new algorithm, numerical simulations and practical experiments have been carried out. This work also compares the proposed localization results with the genetic algorithm localization (GA-L) and least squares method (LS).

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages8423-8427
Number of pages5
ISBN (Electronic)9789881563910
DOIs
Publication statusPublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • DDES-L
  • Localization
  • Wireless Sensor Networks

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