Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones
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 r...
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2013
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| Online Access: | https://hdl.handle.net/10356/102002 http://hdl.handle.net/10220/16347 |
| _version_ | 1826111181408960512 |
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| author | Bharanidharan, Muthusubramanian Li, Xue Jun Jin, Yunye Pathmasuntharam, Jaya Shankar Xiao, Gaoxi |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Bharanidharan, Muthusubramanian Li, Xue Jun Jin, Yunye Pathmasuntharam, Jaya Shankar Xiao, Gaoxi |
| author_sort | Bharanidharan, Muthusubramanian |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T02:46:27Z |
| format | Conference Paper |
| id | ntu-10356/102002 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:46:27Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1020022020-03-07T13:24:51Z Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones Bharanidharan, Muthusubramanian Li, Xue Jun Jin, Yunye Pathmasuntharam, Jaya Shankar Xiao, Gaoxi School of Electrical and Electronic Engineering IEEE International Conference on Networks (18th : 2012 : Singapore) DRNTU::Engineering::Electrical and electronic engineering 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. 2013-10-10T03:14:36Z 2019-12-06T20:48:13Z 2013-10-10T03:14:36Z 2019-12-06T20:48:13Z 2012 2012 Conference Paper 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. https://hdl.handle.net/10356/102002 http://hdl.handle.net/10220/16347 10.1109/ICON.2012.6506573 en |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Bharanidharan, Muthusubramanian Li, Xue Jun Jin, Yunye Pathmasuntharam, Jaya Shankar Xiao, Gaoxi Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones |
| title | Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones |
| title_full | Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones |
| title_fullStr | Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones |
| title_full_unstemmed | Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones |
| title_short | Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones |
| title_sort | design and implementation of a real time locating system utilizing wi fi signals from iphones |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/102002 http://hdl.handle.net/10220/16347 |
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