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Date of Award
8-16-2017
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Mariofanna Milanova
Abstract
Indoor localization or finding the exact position of an object or a person inside a building accurately is still a big challenge and not a single standard technique has been yet accepted tackling this issue. The satellite based Global Positioning System (GPS) technology cannot be used for indoor localization successfully since the signal attenuation caused by construction materials makes it lose significant power indoors, affecting the accuracy of the positioning. There has been a number ‘non-radio’ and ‘radio signal’ techniques developed to find the location of an object indoors with different levels of accuracies, but most of them are developed to find the location of a stationary objects and not intended to track the movement of a person or an object. This work is aimed to develop a technique using Bluetooth Low Energy transmitters and a smartphone application that uses the transmitted Bluetooth signals to approximate the indoor location and track the movement of the device on which it runs in real-time.
Recommended Citation
Yari, Esfandiar, "Real-Time Indoor Tracking System with Bluetooth Signals Using Data Mining Techniques" (2017). Theses and Dissertations. 764.
https://research.ualr.edu/etd/764
