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A. Savvides, H. Park and M. B. Srivastava, “The Bits and Flops of the N-Hop Multilateration Primitive for Node Localization Problems,” Proceedings of the 1st ACM In-ternational Workshop on Wireless Sensor Networks and Applications, WSNA’2, 2002, pp. 112-121.

has been cited by the following article:

• TITLE: MDS and Trilateration Based Localization in Wireless Sensor Network

  AUTHORS: Shailaja Patil, Mukesh Zaveri

  KEYWORDS: Wireless Sensor Network, Localization, Multidimensional Scaling, Trilateration

  JOURNAL NAME: Wireless Sensor Network, Vol.3 No.6, July 1, 2011

  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.