Current Search: Azandaryani, Saeid Mirzaei (x)
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Title
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Indoor Localization using WiFi Wireless LANs.
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Creator
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Azandaryani, Saeid Mirzaei, Cardei, Ionut E., Graduate College
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Date Issued
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2013-04-12
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PURL
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http://purl.flvc.org/fcla/dt/3361902
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Subject Headings
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Wireless LANs, Mobile communication systems
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Format
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Document (PDF)
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Title
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Indoor localization using Wi-Fi fingerprinting.
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Creator
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Mirzaei, Azandaryani Saeid, Cardei, Ionut E., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
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Abstract/Description
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Nowadays the widespread availability of wireless networks has created an interest in using them for other purposes, such as localization of mobile devices in indoor environments because of the lack of GPS signal reception indoors. Indoor localization has received great interest recently for the many context-aware applications it could make possible. We designed and implemented an indoor localization platform for Wi-Fi nodes (such as smartphones and laptops) that identifies the building name,...
Show moreNowadays the widespread availability of wireless networks has created an interest in using them for other purposes, such as localization of mobile devices in indoor environments because of the lack of GPS signal reception indoors. Indoor localization has received great interest recently for the many context-aware applications it could make possible. We designed and implemented an indoor localization platform for Wi-Fi nodes (such as smartphones and laptops) that identifies the building name, floor number, and room number where the user is located based on a Wi-Fi access point signal fingerprint pattern matching. We designed and evaluated a new machine learning algorithm, KRedpin, and developed a new web-services architecture for indoor localization based on J2EE technology with the Apache Tomcat web server for managing Wi-Fi signal data from the FAU WLAN. The prototype localization client application runs on Android cellphones and operates in the East Engineering building at FAU. More sophisticated classifiers have also been used to improve the localization accuracy using the Weka data mining tool.
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Date Issued
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2013
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PURL
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http://purl.flvc.org/fau/fd/FA0004038
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Subject Headings
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Location based services, Mobile geographic information systems, Wireless LANs, Wireless communication systems
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Format
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Document (PDF)