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SIMULATION AND ANALYSIS OF RFID LOCALIZATION ALGORITHMS

Abstract Details

2006, Master of Science in Computer Engineering (MSCE), Wright State University, Computer Engineering.
Radio frequency identification (RFID) based localization systems provide a unique approach to localize mobile entities equipped with RFID readers or tagged with RFID tags. UHF RFID systems using passive tags are a good choice considering their cost, reading range, and reliability. With global acceptance and deployment of UHF RFID systems using passive tags for tracking and identification, virtually everything around us can be tagged with small and low-cost passive RFID tags. This thesis describes a Monte Carlo Localization based algorithm to localize a mobile RFID reader within a tagged environment. A software tool is developed to validate this localization process, simulate it and analyze its performance. Requirement specification for such RFID based localization systems can be determined based on various analysis plots available from this software tool. The tool also analyses tag localization using fixed readers to study the RFID characteristics for localization. These localization approaches can be used to provide intelligent context aware services.
Jack Jean (Advisor)
69 p.

Recommended Citations

Citations

  • Shah, Z. (2006). SIMULATION AND ANALYSIS OF RFID LOCALIZATION ALGORITHMS [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1164732791

    APA Style (7th edition)

  • Shah, Zubin. SIMULATION AND ANALYSIS OF RFID LOCALIZATION ALGORITHMS. 2006. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1164732791.

    MLA Style (8th edition)

  • Shah, Zubin. "SIMULATION AND ANALYSIS OF RFID LOCALIZATION ALGORITHMS." Master's thesis, Wright State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1164732791

    Chicago Manual of Style (17th edition)