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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/624190 |
| Date | 11 1900 |
| Creators | Zegeye, Wondimu K., Amsalu, Seifemichael B. |
| Contributors | Moazzami, Farzad, Dean, Richard A., Astatke, Yacob, Morgan State University, Department of Electrical and Computer Engineering |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © held by the author; distribution rights International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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