MDS and Trilateration Based Localization in Wireless Sensor Network
Shailaja Patil, Mukesh Zaveri
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DOI: 10.4236/wsn.2011.36023   PDF    HTML     9,358 Downloads   18,361 Views   Citations

Abstract

Localization of sensor nodes is crucial in Wireless Sensor Network because of applications like surveillance, tracking, navigation etc. Various optimization techniques for localization have been proposed in literature by different researchers. In this paper, we propose a two phase hybrid approach for localization using Multidi- mensional Scaling and trilateration, namely, MDS with refinement using trilateration. Trilateration refines the estimated locations obtained by the MDS algorithm and hence acts as a post optimizer which improves the accuracy of the estimated positions of sensor nodes. Through extensive simulations, we have shown that the proposed algorithm is more robust to noise than previous approaches and provides higher accuracy for estimating the positions of sensor nodes.

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S. Patil and M. Zaveri, "MDS and Trilateration Based Localization in Wireless Sensor Network," Wireless Sensor Network, Vol. 3 No. 6, 2011, pp. 198-208. doi: 10.4236/wsn.2011.36023.

Conflicts of Interest

The authors declare no conflicts of interest.

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