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The Scheme Design of RFID Anti-collision in Mobile Tag Environment

  • Xuan He
  • Shizhong Li
  • Hongjun Wang
  • Quan Yuan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

Due to collision and mobile problems, it is difficult to use a single reader to identify a large number of mobile tags successfully. In this paper, a new anti-collision scheme is proposed, which combines the tag anti-collision algorithm and multiple reader deployment to solve the mobile tag collision problem. This scheme adopts grouped dynamic frame slotted ALOHA algorithm based on CDMA to deal with the collision which is caused by that large amounts of tags response to the reader. And it adopts the power control algorithm based on cellular model to deal with the collision between the readers. The simulation results show that the total number of slots needed by the tag anti-collision algorithm is less than other similar algorithms; the cumulative adjustment times of reader anti-collision algorithm are less than other similar algorithms, and the algorithm is more stability. It has certain application value in practical engineering.

Keywords

Radio frequency identification Mobile tag  Anti-collision algorithm Power control Cellular model 

References

  1. 1.
    Gao, J.L., He, J.L.: RFID Principle and Technology of Internet of Things, 1st edn. Publishing House of Electronics Industry, Beijing (2013)Google Scholar
  2. 2.
    Song, T.Q.: RFID and Internet of Things, 1st edn. Tsinghua University Press, Beijing (2016)Google Scholar
  3. 3.
    Vinod, N., Maheesha, D., Kavindya, D., Suresh, R.: An extensive study of slotted Aloha-based RFID anti-collision protocols. Comput. Commun. 35(7), 1955–1966 (2012)Google Scholar
  4. 4.
    Pan, X.F., Cao, J.H.: An improved dynamic frame slotted ALOHA algorithm. Microelectron. Comput. 33(06), 95–99 (2016)Google Scholar
  5. 5.
    Pang, Y., Peng, Q., Lin, J.Z., Zhou, Q.N., Li, G.Q., Wu, W.: Reducing tag collision in radio frequency identification systems by using a grouped dynamic frame slotted ALOHA algorithm. Acta Phys. Sin 62(14), 496–503 (2013)Google Scholar
  6. 6.
    Song, R.L., Gao, Z.H.: Research on RFID anti-collision algorithms. Comput. Eng. Appl. 51(16), 82–85 (2015)Google Scholar
  7. 7.
    Ding, Z.G., Ding, L., Tang, H.F.: Anti-collision algorithm based on dynamic research mechanism. Comput. Eng. 43(2), 317–321 (2017)Google Scholar
  8. 8.
    Wei, L.N.: Research on anti-collision technology of UHF RFID reader in dense mode. University of Electronic Science and technology of China, pp. 11–13 (2013)Google Scholar
  9. 9.
    Seo, H.S., Lee, C.W.: A new GA-based resource allocation scheme for a reader-reader interference problem in RFID systems. In: IEEE International Conference on Communication on Communications (ICC), Cape Town, South Africa, pp. 1–5 (2010)Google Scholar
  10. 10.
    Feng, X.: Research on UHF RFID slot ALOHA anti-collision algorithm based on 18000-6C protocol. Tianjin University of Technology, pp. 54–59 (2016)Google Scholar
  11. 11.
    Wang, J.W., Wang, D., Timo, K., Zhao, Y.P.: A novel anti-collision protocol in multiple readers RFID sensor networks. Chin. J. Sens. Actuators 21(8), 1411–1416 (2008)Google Scholar
  12. 12.
    Sun, Y.W., Shen, M.X., Zhou, L., et al.: Simulation and realization of farmland wireless sensor networks nodes deployment. Trans. CASE 26(8), 211–215 (2010)Google Scholar
  13. 13.
    Wang, R.: Design of environment monitoring system based on wireless sensor network. Hubei Normal University, pp. 8–11 (2016)Google Scholar
  14. 14.
    Liang, B., Hu, A.Q., Qin, Z.Y.: A novel design for RFID anti-collision technique. J. Electron. Inform. Technol. 29(9), 2158–2160 (2007)Google Scholar
  15. 15.
    Vogt, H.: Efficient object identification with passive RFID tags. In: Proceedings of International Conference on Pervasive Computing, pp. 98–113. Springer, Berlin (2002)Google Scholar
  16. 16.
    Liu, L.P.: Energy saving coverage for wireless sensor networks. Zhejiang University, pp. 36–37 (2006)Google Scholar
  17. 17.
    Zhao, S.J., Zhang, Z.H.: Study regular hexagonal node coverage model of wireless sensor networks. Comput. Eng. 36(20), 113–115 (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Electronic Engineering InstituteHefeiChina
  2. 2.TH Center of ChinaBeijingChina

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