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Averaged kernel floor localization algorithm for multi-floor WLAN positioning


Citation

Abd Rahman, Mohd Amiruddin and Abbas, Zulkifly (2017) Averaged kernel floor localization algorithm for multi-floor WLAN positioning. In: 5th International Symposium on Applied Engineering and Sciences (SAES2017), 14-15 Nov. 2017, Universiti Putra Malaysia. (p. 32).

Abstract / Synopsis

Multi-floor positioning is important especially to locate a user correctly in an urban area where multi-level buildings are located. In two-stage (vertical and horizontal) positioning, floor level is first determined prior to horizontal localization. Correct floor determination is crucial to ensure proper database selection for horizontal localization. This paper proposes a floor localization algorithm, the averaged kernel floor, which applies clustering technique and kernel density function to estimate the floor location of the user. The results show that the floor level could be determined accurately up to 91.7% in the tested environment. Additionally, the proposed algorithm has very low processing time of about 29 times lower compared to previous floor localization algorithms.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science
Keywords: Indoor positioning; Localization; WLAN
Depositing User: Nabilah Mustapa
Date Deposited: 05 Jul 2018 09:25
Last Modified: 05 Jul 2018 09:25
URI: http://psasir.upm.edu.my/id/eprint/64389
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