文化大學機構典藏 CCUR:Item 987654321/26759
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/26759


    Title: Performance evaluation of real-time indoor positioning with active RFID and ZigBee-based WSN systems
    Authors: Chang, AY (Chang, Allen Y.)
    Liu, TC (Liu, Tsung-Chi)
    Contributors: Dept Comp & Informat Engn
    Keywords: indoor positioning
    radio frequency identification
    wireless sensor network
    received signal strength indicator
    Date: 2013-06
    Issue Date: 2014-02-25 14:46:30 (UTC+8)
    Abstract: This study measures the accuracy of two radio signal-based positioning methods to track targets in an indoor environment using radio frequency identification (RFID) and a wireless sensor network (WSN), the advantages and disadvantages of which are compared, analyzed, and discussed. We propose a specific configuration to perform measurements in a real environment using various positioning algorithms. The experimental results show that the number and the quality of the reference tags influence the accuracy of positioning when using RFID devices. Although WSN devices require fewer sensors, the unit price of sensors is comparatively high. In addition, adjusting the antenna angle achieves a stronger received signal strength indicator variation when using RFID devices. For WSN devices, the key is to avoid interference between sensors because it causes large errors when estimating the distance between 2 points. The proposed positioning methods are suitable for patrol systems, and can be employed to obtain security service personnel location data and confirm their patrol routes. This study adopts active RFID technology and nano real-time positioning WSN technology to test the indoor positioning accuracy of these technologies and related system construction issues. The findings provide a reference for future research on indoor positioning method selection.
    Relation: JOURNAL OF VIBROENGINEERING Volume: 15 Issue: 2 Pages: 736-745
    Appears in Collections:[Department of Computer Science and Information Engineering] journal articles

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