Performance Improvement Algorithm for Wireless Localization Based on RSSI at Indoor Environment 


Vol. 36,  No. 4, pp. 254-264, Apr.  2011


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  Abstract

In this paper, we propose two algorithm for improving the performance of wireless localization(Trilateration and Least Square) based on the range based approach method in indoor environment using RSSI for ranging distance. we propose a method to discriminate the case that has relatively large estimation errors in trilateration using Heron’'s formula for the volume of a tetrahedron. And we propose the algorithm to process the discriminated types of distance using the absolute value calculated by Heron’'s formula. In addition, we propose another algorithm for the case of which the number of anchor nodes larger than three. In this case, Residual Weighting Factor(RWGH) improves the performance of Least Square. However, RWGH requires many number of calculations. In this paper, we propose Iterative Weighted Centroid Algorithm(IWCA) that has better performance and less calculation than RWGH. We show the improvement of performance for two algorithms and the combination of these algorithm by using simulation results.

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  Cite this article

[IEEE Style]

J. Park, J. Lee, S. Kim, "Performance Improvement Algorithm for Wireless Localization Based on RSSI at Indoor Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 4, pp. 254-264, 2011. DOI: .

[ACM Style]

Joo-hyun Park, Jung-kyu Lee, and Seong-cheol Kim. 2011. Performance Improvement Algorithm for Wireless Localization Based on RSSI at Indoor Environment. The Journal of Korean Institute of Communications and Information Sciences, 36, 4, (2011), 254-264. DOI: .

[KICS Style]

Joo-hyun Park, Jung-kyu Lee, Seong-cheol Kim, "Performance Improvement Algorithm for Wireless Localization Based on RSSI at Indoor Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 4, pp. 254-264, 4. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880