Range-free Localization Based on Residual Force-vector with Kalman Filter in Wireless Sensor Networks 


Vol. 35,  No. 4, pp. 647-658, Apr.  2010


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  Abstract

Many localization schemes estimate the locations of radio nodes based on the physical locations of anchors and the connectivity from the anchors. Since they only consider the knowledge of the anchors without else other nodes, they are likely to have enormous error in location estimate unless the range information from the anchors is accurate or there are sufficiently many anchors. In this paper, we propose a novel localization algorithm with the location knowledge of anchors and even one-hop neighbors to localize unknown nodes in the uniform distance from all the one-hop neighbors without the range information. The node in the uniform distance to its all neighbors reduces the location error relative to the neighbors. It further alleviates the location error between its actual and estimated locations. We evaluate our algorithm through extensive simulations under a variety of node densities and anchor placement methods.

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  Cite this article

[IEEE Style]

S. Lee and C. Lee, "Range-free Localization Based on Residual Force-vector with Kalman Filter in Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 647-658, 2010. DOI: .

[ACM Style]

Sang-Woo Lee and Chae-Woo Lee. 2010. Range-free Localization Based on Residual Force-vector with Kalman Filter in Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 35, 4, (2010), 647-658. DOI: .

[KICS Style]

Sang-Woo Lee and Chae-Woo Lee, "Range-free Localization Based on Residual Force-vector with Kalman Filter in Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 4, pp. 647-658, 4. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880