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Minimum Euclidean Distance Algorithm for Indoor WiFi Received Signal Strength (RSS) Fingerprinting

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.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/624190
Date11 1900
CreatorsZegeye, Wondimu K., Amsalu, Seifemichael B.
ContributorsMoazzami, Farzad, Dean, Richard A., Astatke, Yacob, Morgan State University, Department of Electrical and Computer Engineering
PublisherInternational Foundation for Telemetering
Source SetsUniversity of Arizona
Languageen_US
Detected LanguageEnglish
Typetext, Proceedings
RightsCopyright © held by the author; distribution rights International Foundation for Telemetering
Relationhttp://www.telemetry.org/

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