Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102002
Title: Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones
Authors: Bharanidharan, Muthusubramanian
Li, Xue Jun
Jin, Yunye
Pathmasuntharam, Jaya Shankar
Xiao, Gaoxi
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Bharanidharan, M., Li, X. J., Jin, Y., Pathmasuntharam, J. S., & Xiao, G. (2012). Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones. 2012 18th IEEE International Conference on Networks (ICON), pp.299-303.
Abstract: Real time locating system (RTLS) becomes increasingly popular due to its wide application and fast growth as indicated by the number of mobile devices. Instead of the conventional received signal strength indication (RSSI) fingerprinting method that performs wireless localization by collecting the received signal strength (RSS) for beacons from Wi-Fi access points (APs), in this paper we studied and implemented an alternative approach of utilizing APs in monitoring mode to collect the RSSIs for Wi-Fi signals from a mobile device. We focused on two parameters, location of the mobile users with the RSSI of the incoming packets to Wi-Fi networks, to a RTLS in indoor environment. Wi-Fi networks are chosen due to their well-known features like cost effectiveness and existing infrastructure in all domains as in industries, hospitals and various educations institutions. We implemented the packet capture library, through which we obtained the received signal strength value of the incoming packets sent from the mobile station at the wireless access points. By applying a localization algorithm similar to the well-know k-nearest neighbor (kNN), we have calculated the location coordinates of the user. Experimental results show that this approach can achieve better localization accuracy than the conventional approach.
URI: https://hdl.handle.net/10356/102002
http://hdl.handle.net/10220/16347
DOI: 10.1109/ICON.2012.6506573
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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