Minimum Euclidean Distance Algorithm for Indoor WiFi Received Signal Strength (RSS) Fingerprinting
dc.contributor.advisor | Moazzami, Farzad | en |
dc.contributor.advisor | Dean, Richard A. | en |
dc.contributor.advisor | Astatke, Yacob | en |
dc.contributor.author | Zegeye, Wondimu K. | |
dc.contributor.author | Amsalu, Seifemichael B. | |
dc.date.accessioned | 2017-06-15T23:08:52Z | |
dc.date.available | 2017-06-15T23:08:52Z | |
dc.date.issued | 2016-11 | |
dc.identifier.issn | 0884-5123 | |
dc.identifier.issn | 0074-9079 | |
dc.identifier.uri | http://hdl.handle.net/10150/624190 | |
dc.description.abstract | While WiFi-based indoor localization is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, indoor localization with no pre-deployment effort in an indoor space, such as an office building corridor, with WiFi coverage but no apriori knowledge of the placement of the access points(APs) is implemented for mobile devices. WiFi Received Signal Strength(RSS) in the considered environment is used to build radio maps using WiFi fingerprinting approach. Two architectures are developed based on this localization algorithm. The first one involves a client-server approach where the localization algorithm runs on the server whereas the second one is a standalone architecture and the algorithm runs on the SD card of the mobile device. | |
dc.description.sponsorship | International Foundation for Telemetering | en |
dc.language.iso | en_US | en |
dc.publisher | International Foundation for Telemetering | en |
dc.relation.url | http://www.telemetry.org/ | en |
dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | RSS | en |
dc.subject | Android | en |
dc.subject | WiFi Fingerprinting | en |
dc.subject | Indoor Localization | en |
dc.title | Minimum Euclidean Distance Algorithm for Indoor WiFi Received Signal Strength (RSS) Fingerprinting | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.contributor.department | Morgan State University, Department of Electrical and Computer Engineering | en |
dc.identifier.journal | International Telemetering Conference Proceedings | en |
dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | en |
refterms.dateFOA | 2018-05-27T15:17:01Z | |
html.description.abstract | While WiFi-based indoor localization is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, indoor localization with no pre-deployment effort in an indoor space, such as an office building corridor, with WiFi coverage but no apriori knowledge of the placement of the access points(APs) is implemented for mobile devices. WiFi Received Signal Strength(RSS) in the considered environment is used to build radio maps using WiFi fingerprinting approach. Two architectures are developed based on this localization algorithm. The first one involves a client-server approach where the localization algorithm runs on the server whereas the second one is a standalone architecture and the algorithm runs on the SD card of the mobile device. |