The Indoor Localization Algorithm using the Difference Means based on Fingerprint in Moving Wi-Fi Environment 


Vol. 41,  No. 11, pp. 1463-1471, Nov.  2016


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  Abstract

The indoor localization algorithm using the Difference Means based on Fingerprint (DMFPA) to improve the performance of indoor localization in moving Wi-Fi environment is proposed in this paper. In addition to this, the performance of the proposed algorithm is also compared with the Original Fingerprint Algorithm (OFPA) and the Gaussian Distribution Fingerprint Algorithm (GDFPA) by our developed indoor localization simulator. The performance metrics are defined as the accuracy of the average localization accuracy; the average/maximum cumulative distance of the occurred errors and the average measurement time in each reference point.

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  Cite this article

[IEEE Style]

T. Kim and D. M. Lee, "The Indoor Localization Algorithm using the Difference Means based on Fingerprint in Moving Wi-Fi Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1463-1471, 2016. DOI: .

[ACM Style]

Tae-Wan Kim and Dong Myung Lee. 2016. The Indoor Localization Algorithm using the Difference Means based on Fingerprint in Moving Wi-Fi Environment. The Journal of Korean Institute of Communications and Information Sciences, 41, 11, (2016), 1463-1471. DOI: .

[KICS Style]

Tae-Wan Kim and Dong Myung Lee, "The Indoor Localization Algorithm using the Difference Means based on Fingerprint in Moving Wi-Fi Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 11, pp. 1463-1471, 11. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880