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  • A RFID Explicit Tag Estimation Scheme for Dynamic Framed-Slot ALOHA Anti-Collision

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    Author(s)
    Pupunwiwat, Prapassara
    Stantic, Bela
    Griffith University Author(s)
    Stantic, Bela
    Year published
    2010
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    Abstract
    Radio Frequency Identification (RFID) systems consist of fast capturing radio frequency tags and networked electromagnetic readers. Despite the advances of the RFID technology, tag collision is a major problem and can be solved by using the anti-collision scheme. The current ALOHA-based approach suffers from tag starvation problem due to the inaccurate frame size. In this paper, we propose a "RFID Explicit Tag Estimation Scheme" (RETES) for a Dynamic Framed-Slot ALOHA (DFSA), which estimate precise number of tags around the reader and compatible with Electronic Product Code (EPC) Class 1 Generation 2. The preliminary findings ...
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    Radio Frequency Identification (RFID) systems consist of fast capturing radio frequency tags and networked electromagnetic readers. Despite the advances of the RFID technology, tag collision is a major problem and can be solved by using the anti-collision scheme. The current ALOHA-based approach suffers from tag starvation problem due to the inaccurate frame size. In this paper, we propose a "RFID Explicit Tag Estimation Scheme" (RETES) for a Dynamic Framed-Slot ALOHA (DFSA), which estimate precise number of tags around the reader and compatible with Electronic Product Code (EPC) Class 1 Generation 2. The preliminary findings indicated that our method achieves better outcome than existing techniques. We identified that the variations of specific RETES's parameters impact the DFSA's performance. Therefore, to achieve the best performance the parameters should be dynamically adjusted over the process of identification.
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    Conference Title
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM)
    DOI
    https://doi.org/10.1109/WICOM.2010.5601080
    Copyright Statement
    © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Data engineering and data science
    Publication URI
    http://hdl.handle.net/10072/37300
    Collection
    • Conference outputs

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