Localization of Indoor Areas Using Wi-Fi Signals, Type-2 Fuzzy Inference Systems and Data Mining

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Provided by: International Association of Engineers
Topic: Networking
Format: PDF
Recent advances in communication and Wi-Fi mobile technology has led the Wireless Local Area Network (WLAN) to become more ubiquitous. These networks provide a potential infrastructure that enables the indoor location estimate for users who wear wireless devices such as smart phones. This infrastructure goes beyond GPS (Global Position System) where signal is weak or is not available in indoors. This paper describes an alternative and unconventional method to people indoor localization designed for persons using Wi-Fi RSSI fingerprinting by a mobile application as well as an estimation based on Type-2 fuzzy inference systems.
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