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dc.contributor.advisorMoazzami, Farzaden
dc.contributor.advisorDean, Richard A.en
dc.contributor.advisorAstatke, Yacoben
dc.contributor.authorZegeye, Wondimu K.
dc.contributor.authorAmsalu, Seifemichael B.
dc.date.accessioned2017-06-15T23:08:52Z
dc.date.available2017-06-15T23:08:52Z
dc.date.issued2016-11
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/624190
dc.description.abstractWhile 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.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectRSSen
dc.subjectAndroiden
dc.subjectWiFi Fingerprintingen
dc.subjectIndoor Localizationen
dc.titleMinimum Euclidean Distance Algorithm for Indoor WiFi Received Signal Strength (RSS) Fingerprintingen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentMorgan State University, Department of Electrical and Computer Engineeringen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings 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.dateFOA2018-05-27T15:17:01Z
html.description.abstractWhile 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.


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