Indoor Mobile Localization Based on Wi-Fi Fingerprint's Important Access Point | Zendy

Pei Jiang | Zendy; Yunzhou Zhang | Zendy; Wenyan Fu | Zendy; Huiyu Liu | Zendy; Xiaolin Su | Zendy

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Indoor Mobile Localization Based on Wi-Fi Fingerprint's Important Access Point

Author(s) -

Pei Jiang,

Yunzhou Zhang,

Wenyan Fu,

Huiyu Liu,

Xiaolin Su

Publication year - 2015

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2015/429104

Subject(s) - computer science , fingerprint (computing) , rss , mobile phone , fingerprint recognition , similarity (geometry) , wireless , point (geometry) , pattern recognition (psychology) , artificial intelligence , telecommunications , mathematics , world wide web , geometry , image (mathematics)

With the development of the wireless communication technology and intelligent mobile phone, the positioning services based on Wi-Fi and mobile phone are increasingly demanded. In this paper, a Wi-Fi fingerprint localization method is proposed on the basis of important access points (IAP). For the Wi-Fi fingerprint, Wi-Fi access point with the highest received signal strength (RSS) is denoted as the important access point. At the localization stage, the fingerprints are chosen with the same IAP as the estimated fingerprint from the database. Then, the distance and the AP repetition of the fingerprints are used to calculate the similarity degree. The location of the fingerprint which matches the estimated fingerprint well can be regarded as the estimated location. Experimental results show that the proposed algorithm can achieve high accuracy in indoor environment.

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