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Su, Jian; Sheng, Zhengguo; Hong, Danfeng; Leung, Victor C M (2016)
Languages: English
Types: Unknown
Subjects: TA0329
In this paper, we propose an efficient identification algorithm for RFID systems based on EPC C1 Gen2 RFID standard. Specifically, the proposed anti-collision algorithm is based on the observation of sub-frame during an identification process, and makes effective use of idle and collision statistics to accurately estimate the tag backlog and determine the proper frame size for the next inventory round. Simulation results are supplemented to demonstrate the advantages of the proposed algorithm in achieving time and computation efficiency.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • [2] J. Su, D. Hong, J. Tang, and H. Chen, “An efficient anti-collision algorithm based on improved collision detection scheme,” IEICE Trans. Commun., vol. E99-B, no. 2, pp. 465-470, 2016.
    • [3] J. Su, Z. Sheng, G. Wen, and V. Leung, “A time efficient tag identification algorithm using dual prefix probe scheme (DPPS),” IEEE Signal Process. Lett., vol. 23, no. 3, pp. 386-389, 2016.
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    • [7] EPCglobal, EPC radio-frequency identify protocols class-1 generation-2 UHF RFID protocol for communications at 860 MHz-960 MHz ver. 2. 2. 0, 2013.
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    • [9] C. Angerer, R. Langwieser, and M. Rupp, “RFID reader receivers for physical layer collision recovery,” IEEE Trans. Commun., vol. 58, no. 12, pp. 3526-3537, 2010.
    • [10] W.-T. Chen, “A feasible and easy-to-implement anticollision algorithm for the EPCglobal UHF Class-1 Generation-2 RFID protocol,” IEEE Trans. Autom. Sci. Eng., vol. 11, no. 2, pp. 485-491, 2014.
    • [11] P. Solic, J. Radic, and N. Rozic, “Energy efficient tag estimation method for ALOHA-based RFID systems,” IEEE Sensors J., vol. 14, no. 10, pp. 3637-3647, 2014.
    • [12] J.V. Alonso, V.B. Delgado, E.E. Lopez, F.J.G. Castano, and J. Alcaraz, “Multiframe maximum-likelihood tag estimation for RFID anticollision protocols,” IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 487-496, 2011.
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  • Discovered through pilot similarity algorithms. Send us your feedback.

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