A Memoryless Information Sharing RFID Tag Anti-Collision Protocol

  • Conference paper
  • First Online:
Data Science and Information Security (IAIC 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2059))

Included in the following conference series:

  • 84 Accesses

Abstract

Traditional anti-collision algorithms in radio frequency identification (RFID) systems primarily target single-channel, short-distance, point-to-point systems. They often rely on time division multiplexing to avoid tag collisions, resulting in low system efficiency. This article introduces a memoryless information-sharing tag anti-collision protocol. The protocol exploits the multi-channel attributes of a passive cellular IoT system, utilizing relay nodes to access known tag information. Additionally, it employs a bit tracking mechanism, proposing a Shared Intelligent Traversal Tree (BSSTT) protocol based on bit tracking. BSSTT protocol effectively reduces the number of invalid time slots. Simulation results, based on the application of various memoryless protocols in the presented scenario, show that the BSSTT protocol achieves a system recognition efficiency of 86.8\(\%\) when recognizing 4000 tags, which is 59.1\(\%\) higher than the existing QT protocol. Moreover, compared to the latest memoryless protocols, BSSTT significantly reduces both the total recognition time and overall energy consumption.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 64.19
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 80.24
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yuan, L.: Research and practice of RFID-based warehouse logistics management system. In: Proceedings of the 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA), IEEE (2019)

    Google Scholar 

  2. Lu, J., Yang, L., Qiu, Y., et al.: An improved RFID anti-collision algorithm and its application in food tracking. In: Proceedings of the 2019 14th International Conference on Computer Science & Education (ICCSE), IEEE (2019)

    Google Scholar 

  3. Landaluce, H., Arjona, L., Perallos, A., et al.: A review of IoT sensing applications and challenges using RFID and wireless sensor networks. Sensors 20(9), 2495 (2020)

    Article  Google Scholar 

  4. Kimionis, J., Bletsas, A., Sahalos, J.N.: Increased range bistatic scatter radio. IEEE Trans. Commun. 62(3), 1091–1104 (2014)

    Article  Google Scholar 

  5. Chen, W.-T.: An accurate tag estimate method for improving the performance of an RFID anticollision algorithm based on dynamic frame length ALOHA. IEEE Trans. Autom. Sci. Eng. 6(1), 9–15 (2008)

    Article  Google Scholar 

  6. Knerr, B., Holzer, M., Angerer, C., et al.: Slot-wise maximum likelihood estimation of the tag population size in FSA protocols. IEEE Trans. Commun. 58(2), 578–585 (2010)

    Article  Google Scholar 

  7. Su, J., Sheng, Z., Leung, V.C., et al.: Energy-efficient tag identification algorithms for RFID: survey, motivation and new design. IEEE Wirel. Commun. 26(3), 118–124 (2019)

    Article  Google Scholar 

  8. Law, C., Lee, K., Siu, K-Y.: Efficient memoryless protocol for tag identification. In: Proceedings of the 4th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications, IEEE (2000)

    Google Scholar 

  9. Myung, J., Lee, W., Srivastava, J., et al.: Tag-splitting: adaptive collision arbitration protocols for RFID tag identification. IEEE Trans. Parallel Distrib. Syst. 18(6), 763–775 (2007)

    Article  Google Scholar 

  10. Jia, X., Feng, Q., Yu, L.: Stability analysis of an efficient anti-collision protocol for RFID tag identification. IEEE Trans. Commun. 60(8), 2285–2294 (2012)

    Article  Google Scholar 

  11. Pan, L., Wu, H.: Smart trend-traversal protocol for RFID tag arbitration. IEEE Trans. Wireless Commun. 10(11), 3565–3569 (2011)

    Article  Google Scholar 

  12. Nithya, S., Jerlin, M., Priya, S.: Tag starvation and tag collisions in RFID system-A solution. Int. J. Eng. Technol. 5(3), 2519–2522 (2013)

    Google Scholar 

  13. Barletta, L., Borgonovo, F., Cesana, M.: A formal proof of the optimal frame setting for dynamic-frame Aloha with known population size. IEEE Trans. Inf. Theory 60(11), 7221–7230 (2014)

    Article  MathSciNet  Google Scholar 

  14. Myung, J., Lee, W., Shih, T.K.: An adaptive memoryless protocol for RFID tag collision arbitration. IEEE Trans. Multimedia 8(5), 1096–1101 (2006)

    Article  Google Scholar 

  15. La Porta, T.F., Maselli, G., Petrioli, C.: Anticollision protocols for single-reader RFID systems: temporal analysis and optimization. IEEE Trans. Mob. Comput. 10(2), 267–279 (2010)

    Article  Google Scholar 

  16. Pan, L., Wu, H.: Smart trend-traversal: a low delay and energy tag arbitration protocol for large RFID systems. In: Proceedings of the IEEE INFOCOM 2009, IEEE (2009)

    Google Scholar 

  17. Chen, W-C., Horng, S-J., Fan, P.: An enhanced anti-collision algorithm in RFID based on counter and stack. In: Proceedings of the 2007 Second International Conference on Systems and Networks Communications (ICSNC 2007), IEEE (2007)

    Google Scholar 

  18. Su, J., Chen, Y., Sheng, Z., et al.: From M-Ary query to bit query: a new strategy for efficient large-scale RFID identification. IEEE Trans. Commun. 68(4), 2381–2393 (2020)

    Article  Google Scholar 

  19. Lai, Y.-C., Hsiao, L.-Y., Chen, H.-J., et al.: A novel query tree protocol with bit tracking in RFID tag identification. IEEE Trans. Mob. Comput. 12(10), 2063–2075 (2012)

    Article  Google Scholar 

  20. Landaluce, H., Perallos, A., Onieva, E., et al.: An energy and identification time decreasing procedure for memoryless RFID tag anticollision protocols. IEEE Trans. Wireless Commun. 15(6), 4234–4247 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guangjun Wen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Y. et al. (2024). A Memoryless Information Sharing RFID Tag Anti-Collision Protocol. In: **, H., Pan, Y., Lu, J. (eds) Data Science and Information Security. IAIC 2023. Communications in Computer and Information Science, vol 2059. Springer, Singapore. https://doi.org/10.1007/978-981-97-1280-9_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-1280-9_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-1279-3

  • Online ISBN: 978-981-97-1280-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation