2019/08/20 by Sumudu Hasala Marakkalage, Marakkalage, Sumudu Hasala, Ran Liu +5
Engineering · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Indoor and Outdoor Localization Technologies #Millimeter-Wave Propagation and Modeling
paper · pdf · doi:10.48550/arxiv.1908.08929
openalex publication_date 2019/08/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents a mobile crowdsensing approach to identify the indoor\npoints of interest (POI) by exploiting Wi-Fi similarity measurements. Since\nindoor environments are lacking the GPS positioning accuracy when compared to\noutdoors, we rely on widely available Wi-Fi access points (AP) in contemporary\nurban indoor environments, to accurately identify user POI. We propose a\nsmartphone application based system architecture to scan the surrounding Wi-Fi\nAP and measure the cosine similarity of received signal strengths (RSS), and\ndemonstrate through the experimental results that it is possible to identify\nthe distinct POI of users, and the common POI among users of a given indoor\nenvironment.\n