Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (1): 77-83.doi: 10.3969/j.issn.1000-565X.2014.01.014

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Localization Algorithm Based on Classification of Distance Estimation Methods for Wireless Sensor Networks

Huang Zhi- yong Zhang Xin   

  1. College of Communication Engineering,Chongqing University,Chongqing 400044,China
  • Received:2013-07-05 Revised:2013-11-11 Online:2014-01-25 Published:2013-12-01
  • Contact: 黄智勇(1978-)，男，博士，副教授，主要从事无线传感器网络建模、计算机网络安全研究． E-mail:zyhuang@cqu.edu.cn
  • About author:黄智勇(1978-)，男，博士，副教授，主要从事无线传感器网络建模、计算机网络安全研究．
  • Supported by:

    国家自然科学基金资助项目(61103212);重庆市自然科学基金资助项目(CSTC． 2010BB2242);重庆大学中央高校基本科研业务费专项资金资助项目(CDJZＲ12160005， CDJＲC10160010)

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Abstract:

Since the traditional localization algorithm of wireless sensor networks,namely the DV- Hop algorithmwithout distance measurement,is of low accuracy due to the imprecise estimated distance,a new one based on theclassification of distance estimation methods is proposed.In this algorithm,the concept of optimal auxiliary anchoris introduced to improve the accuracy of distance estimation.During the estimation,unknown nodes find the opti-mal auxiliary anchor in light of the requirements of distance estimation at the beginning，and then estimate the dis-tance according to the types of the estimation methods.Moreover,in order to further improve the localization accu-racy,a“nonlinearity- hop number”weighting factor is introduced in the trilateral localization and the expectation ofestimated coordinate of unknown nodes is finally obtained.Simulated results demonstrate that the proposed localiza-tion algorithm greatly improves the accuracy of distance estimation only with an appropriate increment of communi-cation cost.

Key words: wireless sensor networks, localization algorithm, distance estimation method, weighting processing

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