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NOMA-Based RFID Tag Identification Method

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Smart Grid and Internet of Things (SGIoT 2020)

Abstract

RFID (radio frequency identification technology) is a non-contact automatic identification technology. During the Tag identification process, an effective anti-collision method will make a significant contribution to the RFID system in accelerating the identification speed. This paper proposes a method to improved RFID anti-collision protocol that incorporates a NOMA (non-orthogonal multiple access) technique, which is based on ISO 18000-6C standard. This paper simulates the method and compares it with traditional scheme of 18000-6C18000-6C. Through our simulations, NOMA-based RFID Tag identification method outperforms Traditional schemes in both the average access slot efficiency and time efficiency. It can solve serious collision under massive Tags numbers and improve system efficiency. It also can be conveniently applied to engineering implementations.

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References

  1. Wang, H., You, X., Cui, Y.: A stack-like optimal Q-algorithm for the ISO 18000–6C in RFID system. In: 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, Beijing, pp. 164–168 (2012). https://doi.org/10.1109/ICNIDC.2012.6418735.

  2. Maguire, Y., Pappu, R.: An optimal Q-Algorithm for the ISO 18000–6C RFID Protocol. IEEE Trans. Autom. Sci. Eng. 6(1), 16–24 (2009). https://doi.org/10.1109/TASE.2008.2007266

    Article  Google Scholar 

  3. Demeechai, T., Siwamogsatham, S.: Using CDMA to enhance the MAC performance of ISO/IEC 18000–6 Type C. IEEE Commun. Lett. 15(10), 1129–1131 (2011). https://doi.org/10.1109/LCOMM.2011.082011.110848

    Article  Google Scholar 

  4. ISO/IEC_CD 18000–6. Information Technology—Radio Frequency Identification (RFID) for Item management—Part 6: Parameters for Air Interface Communications at 860–930 MHz (2004)

    Google Scholar 

  5. Ko, Y., Roy, S., Smith, J.R., Lee, H., Cho, C.: RFID MAC performance evaluation based on ISO/IEC 18000–6 Type C. IEEE Commun. Lett. 12(6), 426–428 (2008). https://doi.org/10.1109/LCOMM.2008.080254

    Article  Google Scholar 

  6. EPC global: EPC Radio-Frequency Identity Protocols Class-1 Generation-2 UHF RFID Protocol for Communications at 860 MHz–960 MHz; Version 1.2.0, Brussels, Belgium (2008)

    Google Scholar 

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Acknowledgement

This work was supported in part by the National Natural Science Foundations of CHINA (Grant No. 61871322, No. 61771392, No. 61771390, and No. 61501373), and Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 20185553035, and No. 201955053002).

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Correspondence to Mao Yang .

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Miao, Q., Fang, Y., Yang, M., Yan, Z., Li, B. (2021). NOMA-Based RFID Tag Identification Method. In: Lin, YB., Deng, DJ. (eds) Smart Grid and Internet of Things. SGIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-030-69514-9_19

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  • DOI: https://doi.org/10.1007/978-3-030-69514-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69513-2

  • Online ISBN: 978-3-030-69514-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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