Averaged kernel floor localization algorithm for multi-floor WLAN positioning
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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/64389/ http://psasir.upm.edu.my/id/eprint/64389/1/ENG%20%26%20New%20Tech%20Oral%20111117%2032.pdf |
| _version_ | 1848854988460130304 |
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| author | Abd Rahman, Mohd Amiruddin Abbas, Zulkifly |
| author_facet | Abd Rahman, Mohd Amiruddin Abbas, Zulkifly |
| author_sort | Abd Rahman, Mohd Amiruddin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T11:18:37Z |
| format | Conference or Workshop Item |
| id | upm-64389 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:18:37Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-643892018-07-05T09:25:25Z http://psasir.upm.edu.my/id/eprint/64389/ Averaged kernel floor localization algorithm for multi-floor WLAN positioning Abd Rahman, Mohd Amiruddin Abbas, Zulkifly 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. 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64389/1/ENG%20%26%20New%20Tech%20Oral%20111117%2032.pdf 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). |
| spellingShingle | Abd Rahman, Mohd Amiruddin Abbas, Zulkifly Averaged kernel floor localization algorithm for multi-floor WLAN positioning |
| title | Averaged kernel floor localization algorithm for multi-floor WLAN positioning |
| title_full | Averaged kernel floor localization algorithm for multi-floor WLAN positioning |
| title_fullStr | Averaged kernel floor localization algorithm for multi-floor WLAN positioning |
| title_full_unstemmed | Averaged kernel floor localization algorithm for multi-floor WLAN positioning |
| title_short | Averaged kernel floor localization algorithm for multi-floor WLAN positioning |
| title_sort | averaged kernel floor localization algorithm for multi-floor wlan positioning |
| url | http://psasir.upm.edu.my/id/eprint/64389/ http://psasir.upm.edu.my/id/eprint/64389/1/ENG%20%26%20New%20Tech%20Oral%20111117%2032.pdf |