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- Type of Document: M.Sc. Thesis
- Language: English
- Document No: 48630 (52)
- University: Sharif University of Technology, International Campus, Kish Island
- Department: Science and Engineering
- Advisor(s): Hemmatyar, Ali Mohammad Afshin
- Abstract:
- Indoor Positioning Systems (IPS) are commonly used in context-aware environments in order to determine the location of any desired object. In such environments location awareness is a key to adequate response. There are several positioning technologies available such as beacon-based positioning, camera-based positioning, Wi-Fi positioning, etc. Among these positioning systems Radio Frequency Identification (RFID) positioning has significant advantages over other technologies. Flexibility, ease of implementation, cost and accuracy are key advantages for RFID positioning technology. RFID positioning systems are classified in three categories: RF signal analysis-based, active RFID and passive RFID. Each of these categories provide a level of uncertainty according to cost, equipment, and algorithms they use. In this study a passive RFID positioning system is chosen, and height of mobile object, tags density and floor type are considered to be influential factors on uncertainty. Experiment results show that floor type does not have remarkable influence, but height of mobile object and tags density have significant impact on the uncertainty and by increasing tags density from 25 to 100 average error varies from 38.5cm to 1cm. A linear model is derived to show the relation between uncertainty and its corresponding variables
- Keywords:
- Uncertainty ; Indoor Positioning ; Radio Frequency Identification (RFID) ; Passive Radio Frequency Identification (RFID)
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