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The Research on Electronic Tag Quantity Estimate Arithmetic Based on Probability Statistics

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Internet of Things

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 312))

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Abstract

In the RFID system, the precise estimation of electronic tag number is very important for increasing tag identification precision and efficiency. The paper introduces three estimate arithmetic based on probability statistics, and analyzes and compare the arithmetic performance through mathematic analyze and simulation experiment. The result shows that the ZE estimate arithmetic, which estimate based on zero frame, and the CE estimate arithmetic, which based on conflict frame, can precisely estimate the number of tags under certain system load, and it also indicates that the max tag number which CE can estimate is bigger than ZE with the same system time slots, and the difference is a linear relationship with the system time slots.

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References

  1. Kodialam, M., Nandagopal, T.: Fast and Reliable Estimation Schemes in RFID Systems. In: MobiCom 2006, Los Angeles, California, USA, pp. 322–333 (2006)

    Google Scholar 

  2. Yang, J., Wang, Y., Zhan, Y.: Research on Tag Anti-collision Algorithms of RFID System under Dense Tag Environment. Journal of Sun Yat-sen University 48(6), 147–150 (2009)

    Google Scholar 

  3. Schoute, F.C.: Dynamic framed length ALOHA. IEEE Transactions on Communications 31(4), 565–568 (1983)

    Article  Google Scholar 

  4. Finkenzeller, K.: RFID Handbook, 3rd edn. John Wiley & Sons, Ltd (2010)

    Google Scholar 

  5. Finkenzeller, K.: RFID handbook: Radio frequency identification fundamentals and applications. John Wiley & Sons, Ltd (2000)

    Google Scholar 

  6. Want, R.: An introduction to RFID technology. In: IEEE Pervasive Computing, vol. 3, pp. 25–33 (January 2006)

    Google Scholar 

  7. Hassan, T., Chatterjee, S.: A taxonomy for RFID. In: Hawaii International Conference on System Sciences, Kauai, HI, pp. 1–10 (January 2006)

    Google Scholar 

  8. Tanenbaum, A.S.: Computer networks, 4th edn. Prentice-Hall, New Jersey (2003)

    Google Scholar 

  9. Feller, W.: An Introduction to Probability Theory and Its Applications, vol. 1. John Wiley & Sons, Ltd. (1968)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhou, L., Li, Z., Chen, Y., Li, T. (2012). The Research on Electronic Tag Quantity Estimate Arithmetic Based on Probability Statistics. In: Wang, Y., Zhang, X. (eds) Internet of Things. Communications in Computer and Information Science, vol 312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32427-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-32427-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32426-0

  • Online ISBN: 978-3-642-32427-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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