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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 19 | Page No.: 4925-4931
DOI: 10.3923/itj.2013.4925.4931
A Novel Lightness Localization Algorithm in Wireless Sensor Networks Based on Anchor Nodes Equilateral Triangle Layout
Ai Jiang-Shan and Chen Xiao-Hong

Abstract: In this study we propose a new Lightness Equilateral Triangle Localization Algorithm (LETLA) that accurately localizes sensors while minimizing power consumption and independent on any extra hardware. In the LETLA, which is based on geometric characteristics of equilateral triangle layout, anchors are placed in the vertexes of many equilateral triangles. The equilateral triangle that contains the located node is determined by examining the ordered sequence of ranging result taken at multiple anchor nodes and the intersection of two arcs is substituted by the intersection of two tangent lines which is the approximate location of located point in LETLA. Through extensive simulations, we show that LETLA performs better than other state of the art approaches in terms of energy consumption with the same localization precision.

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How to cite this article
Ai Jiang-Shan and Chen Xiao-Hong, 2013. A Novel Lightness Localization Algorithm in Wireless Sensor Networks Based on Anchor Nodes Equilateral Triangle Layout. Information Technology Journal, 12: 4925-4931.

Keywords: WSNs, equilateral triangle layout and localization

REFERENCES
  • Baggio, A. and K. Langendoen, 2008. Monte Carlo localization for mobile wireless sensor networks. Ad Hoc Networks, 6: 718-733.
    CrossRef    Direct Link    

  • Ampeliotis, D. and K. Berberidis, 2010. Sorted order-κ voronoi diagrams for model-independent source localization in wireless sensor networks. IEEE Trans. Signal Process., 58: 426-437.
    CrossRef    Direct Link    

  • Li, X.Q., H. Gao and L.L. Lv, 2009. An improved APIT algorithm based on direction searching. Proceedings of the 5th International Conference on Wireless Communications Networking and Mobile Computing, September 24-26, 2009, Beijing, China, pp: 1-4.

  • Mainwaring, A., J. Polastre, R. Szewczyk, D. Culler and J. Anderson, 2002. Wireless sensor networks for habitat monitoring. Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, September 28, 2002, New York, USA., pp: 88-97.

  • Niculescu, D. and B. Nath, 2003. DV based positioning in ad hoc networks. Telecommun. Syst., 22: 267-280.
    Direct Link    

  • Younis, M., K. Ghumman and M. Eltoweissy, 2006. Location-aware combinatorial key management scheme for clustered sensor networks. IEEE Trans. Parallel Distrib. Syst., 17: 865-882.
    CrossRef    

  • Wang, J.Z. and H.G. Jin, 2009. Improvement on APIT localization algorithms for wireless sensor networks. Proceedings of the International Conference on Networks Security, Wireless Communications and Trusted Computing, Volume 1, April 25-26, 2009, China, pp: 719-723.

  • Wang, X., D. Bi, L. Ding and S. Wang, 2007. Agent collaborative target localization and classification in wireless sensor networks. Sensors, 7: 1359-1386.

  • Wang, W., V. Srinivasan, B. Wang and K.C. Chua, 2008. Coverage for target localization in wireless sensor networks. IEEE Trans. Wireless Commun., 7: 667-676.
    CrossRef    

  • Yang, Q. and Z.J. Wang, 2007. Study on localization algorithms for large scale wireless sensor network. Transducer Microsyst. Technol., 26: 33-36.

  • Qian, Y., K. Lu and D. Tipper, 2007. A design for secure and survivable wireless sensor networks. IEEE Wireless Commun., 15: 30-37.
    Direct Link    

  • Zhou, Y., X. Ao and S.X. Xia, 2008. An improved APIT node self-localization algorithm in WSN. Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25-27, 2008, Chongqing, China, pp: 7582-7586.

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