Node Distribution-Based Localization for Large-scale Wireless Sensor Networks 


Vol. 33,  No. 9, pp. 832-844, Sep.  2008


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  Abstract

Distributed localization algorithms are necessary for large-scale wireless sensor network applications. In this paper, we introduce an efficient node distribution based localization algorithm that emphasizes simple refinement and low system load for low-cost and low-rate wireless sensors. Each node adaptively chooses neighbor nodes for sensors, update its position estimate by minimizing a local cost function and then passes this update to the neighbor nodes. The update process considers a distribution of nodes for large-scale networks which have same density in a unit area for optimizing the system performance. Neighbor nodes are selected within a range which provides the smallest received signal strength error based on the real experiments. MATLAB simulation showed that the proposed algorithm is more accurate than trilateration and les complex than multidimensional scaling. The implementation on MicaZ using TinyOS-2.x confirmed the practicality of the proposed algorithm.

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  Cite this article

[IEEE Style]

S. Han, S. Lee, S. Lee, J. Park, S. Park, "Node Distribution-Based Localization for Large-scale Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 9, pp. 832-844, 2008. DOI: .

[ACM Style]

Sangjin Han, Sungjin Lee, Sanghoon Lee, Jongjun Park, and Sangjoon Park. 2008. Node Distribution-Based Localization for Large-scale Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 33, 9, (2008), 832-844. DOI: .

[KICS Style]

Sangjin Han, Sungjin Lee, Sanghoon Lee, Jongjun Park, Sangjoon Park, "Node Distribution-Based Localization for Large-scale Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 9, pp. 832-844, 9. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880