Localization Algorithm for Moving Objects Based on Maximum Measurement Value in WPAN 


Vol. 39,  No. 5, pp. 407-412, May  2014


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  Abstract

Concerns and demands for the Location Based Services (LBS) using Global Positioning System (GPS) and Wi-Fi are largely increased in the world in the present. In some experimental results, it was noted that many errors are frequently occurred when the distances between an anchor node and a mobile node acre measured in indoor localization environment of Wireless Personal Area Network (WPAN). In this paper, localization compensation algorithm based on maximum measurement value (LCA MMV) for moving objects in WPAN is proposed, and the performance of the algorithm is analyzed by experiments on three scenarios for movement of mobile nodes. From the experiments, it was confirmed that the average localization accuracy of suggested algorithm was more increased than Symmetric Double-Sided Two-Way Ranging (SDS-TWR) and triangulation as average 40.9cm, 77.6cm and 6.3cm, respectively on scenario 1-3.

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  Cite this article

[IEEE Style]

C. Y. Choi and D. M. Lee, "Localization Algorithm for Moving Objects Based on Maximum Measurement Value in WPAN," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 5, pp. 407-412, 2014. DOI: .

[ACM Style]

Chang Yong Choi and Dong Myung Lee. 2014. Localization Algorithm for Moving Objects Based on Maximum Measurement Value in WPAN. The Journal of Korean Institute of Communications and Information Sciences, 39, 5, (2014), 407-412. DOI: .

[KICS Style]

Chang Yong Choi and Dong Myung Lee, "Localization Algorithm for Moving Objects Based on Maximum Measurement Value in WPAN," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 5, pp. 407-412, 5. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880