Skip to main content

RFID Tag Anticollision Scheme Using Modular Arithmetic

  • Conference paper
  • 931 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 255))

Abstract

In order to solve the problem of multiple tag collision in RFID system, a RFID tag anticollision scheme using modular arithmetic is proposed in this paper. Firstly, the number of tag is estimated, and then modular arithmetic is taken on the tag’s ID bit-by-bit. The tags with the same remainder are classified into a group. After K times’ modular arithmetic, all tags are divided into 2K groups. The tags in each group have few collision bits, and the group ID is the slot that tags will be read. Then, tags sent their ID according to the corresponding slot. Collision tags can be further identified with binary tree algorithm. The efficiency of tag identification is greatly improved using this scheme. It is suitable for identifying massive tags in RFID system.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Dind, Z.: Research and Realization on Technologies of RFID. University of Science and Technology of China, Anhui (2009)

    Google Scholar 

  2. Li, M., Qian, Z., Xu, Z.: Slot-predicting based ALOHA algorithm for RFID anti-collision. J. Commun. 32(12), 43–50 (2011)

    Google Scholar 

  3. Jiang, L., Lu, G.: Research on anti-collision algorithm for RFID systems. Comput. Eng. Appl. 43(5), 29–32 (2007)

    MathSciNet  Google Scholar 

  4. Mateu, L., Moll, F.: Review of energy harvesting techniques and application for microelectronics. In: Proceedings of SPIE, pp. 359–373 (2009)

    Google Scholar 

  5. Yi, G., Guiling, S., Weixiang, L., et al.: Wireless sensor node design based on solar energy supply. In: Proceedings of the 2nd International Conference on Power Electronics and Intelligent Transportation System, pp. 203–207 (2009)

    Google Scholar 

  6. Liu, M., Xu, Z.: Analysis of RFID multi-tag identification defect and anti-collision algorithm. Microcontroller Embed. Syst. Appl. 1, 18–20 (2010)

    Google Scholar 

  7. Li, Z., Zhang, C., Huang, M., Shi, H.: A compound tag number estimation scheme for aloha based anti-collision algorithm in RFID networks. In: IET International Conference on Communication Technology and Application, pp. 742–746, ICCTA (2011)

    Google Scholar 

  8. Wensheng, S., Rongqing, C.: An improved anti-collision algorithm based on ALOHA in RFID system. Commun. Netw. 37(9), 107–110 (2011)

    Google Scholar 

  9. Jinhui, G., Xiaoyan, Z.: A new hybrid anti-collision algorithm in RFID system. Comput. Technol. Appl. 37(12), 130–136 (2011)

    Google Scholar 

Download references

Acknowledgments

This work is supported by Information Security Special fund of National Development and Reform Commission (project name: Development of Security Test Service Capabilities in Wireless Intelligent Terminals), the National High Technology Research and Development Program of China (863 program), under Grant 2013AA014001.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhongyuan Qin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer India

About this paper

Cite this paper

Qin, Z., Zheng, Y., Wang, Y., Huang, J. (2014). RFID Tag Anticollision Scheme Using Modular Arithmetic. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_39

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1759-6_39

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1758-9

  • Online ISBN: 978-81-322-1759-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics