Effective self-adjustment places of interest discovery in public places. (2016)

• Record Type: Journal Article
• Authors: Lin, Chow-Sing; Hsu, Shang-Hsuan
• Is Part Of: International journal of ad hoc and ubiquitous computing. Volume 22:Number 4(2016)
• Page Start: 226
• Page End: 235
• Publication Date: 2016
• Subjects: location-based services -- LBS -- places of interest -- POI discovery -- place finding -- wifi beacons -- wifi signal fingerprints -- self-adjustment -- public places -- smartphones -- place discovery; Ubiquitous computing -- Periodicals; Embedded computer systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Wireless communication systems -- Periodicals; Computer architecture -- Periodicals; 004.2
• Languages: English
• ISSNs: 1743-8225

Abstract

Existing fingerprint-based places of interest (POIs) finding approaches mainly rely on WiFi signal fingerprints of fixed access points. Due to the prevalence of smartphones and 3G networks, the increasing number of smartphones acting as mobile access points in public places have hindered the ability to effectively learn and identify POIs. The effective removal of these casually appearing WiFi beacons generated by mobile access points has recently become the centre of attention for a lot of research. In this paper, we propose the self-adjustment POI discovery system (SAPID) to deal with the aforementioned problem. With the proposed weighted merging of the fingerprints of entrance and matched POI, the SAPID is more robust than BeaconPrint, PlaceSence, and SensLoc in detecting POIs located in public places. The experiment results show that compared to those state-of-art place discovery algorithms, the SAPID has better precision, recall, and F1 score in POI discovery.