dc.contributor.authorBharanidharan, Muthusubramanian
dc.contributor.authorLi, Xue Jun
dc.contributor.authorJin, Yunye
dc.contributor.authorPathmasuntharam, Jaya Shankar
dc.contributor.authorXiao, Gaoxi
dc.identifier.citationBharanidharan, 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.
dc.description.abstractReal 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.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleDesign and implementation of a real time locating system utilizing Wi-Fi signals from iPhonesen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE International Conference on Networks (18th : 2012 : Singapore)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US

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