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An Anti-collision Algorithm Using Two-Functioned Estimation for RFID Tags

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

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Abstract

Radio Frequency Identification (RFID) has recently played an important role in ubiquitous sensing technology. While more advanced applications have been equipped with RFID devices, sensing multiple passive tags simultaneously becomes especially important. In this paper, using complementarily two-functioned estimation, we propose an identification method based on the stochastic process. The underlying mathematical principles and parameters estimation models have also been well discussed. Numerical examples are given to verify the proposed two-functioned estimation identification method within a given expected accuracy-level. Key Words: RFID (Radio Frequency Identification), Anti-collision Algorithm, Two-functioned Estimation.

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Author information

Authors and Affiliations

  1. Graduate Student, Industrial & Information Systems Engineering Department, Ajou University, Suwon, Korea

    Jia Zhai

  2. Industrial & Information Systems Engineering Department, Ajou University, Suwon, Korea

    Gi-Nam Wang

Authors
  1. Jia Zhai
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  2. Gi-Nam Wang
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhai, J., Wang, GN. (2005). An Anti-collision Algorithm Using Two-Functioned Estimation for RFID Tags. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_74

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  • DOI: https://doi.org/10.1007/11424925_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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