170
H. Deng et al.
for the entire identification process increases linearly, which effectively improves the
efficiency of the RFID system, increases the stability of the system throughput rate, and
reduces the cost of the tags. For the identification of a large number of tags, the CIRCFSA algorithm exhibits immense potential for applications requiring fast and rapid tag
identification.
Acknowledgments. This research was supported by the Scientific Research Project of the Hunan
Provincial Department of Education (18A332), the Science and Technology Plan Project of Hunan
Province (2016TP1020), and the Application-Oriented Special Disciplines, Double First-Class
University Project of Hunan Province (Xiangjiaotong [2018] 469).
References
1. Li, X.-W.: Research on tag identification technology of mobile RFID system. Dissertation,
Southwest Jiaotong University, Chengdu (2014)
2. Zhang, X., Hu, Y.: Research on RFID anti-collision algorithm for adaptively assigning time
slots in packets. Chin. J. Electron. 44(6), 1328–1335 (2016)
3. Hou, P., Wang, Z., Yan, C.: Improvement of the anti-collision algorithm based on RFID tag.
Comput. Sci. 46(11A), 359–362 (2019)
4. Yang, L.: Research on anti-collision of mobile tag in dynamic RFID system. Dissertation,
Southwest Petroleum University (2016)
5. Su, J., Xie, L., Yang, Y., Wen, G., Meng, Q.: UHF RFID anti-collision algorithm based on
idle slot elimination. Chin. J. Electron. 45(2), 307–314 (2017)
6. Li, X.-W., Feng, Q.-Y., Chen, Y.-H.: System performance evaluation method of anti-collision
protocol in mobile RFID system. J. China Railw. Soc. 36(4), 42–47 (2014)
7. Dong, H., Sheng, K., Ma, J., Yao, H.: Research on adaptive frame slot Aloha anti-collision
algorithm based on first come first served based on tag grouping. J. Guangxi Univ. Sci.
Technol. 29(1), 61–68 (2018)
8. Xiong, T.W., Tan, X., Yan, N., et al.: Modeling and simulation of RTLS based on UHF RFID.
J. Syst. Simul. 23(1), 212–216 (2011)
9. Fu, Y., Qian, Z., Meng, J., Wang, X.: Aloha anti-collision algorithm for frame slot based on
continuous slot prediction. Chin. J. Electron. 44(9), 2081–2086 (2016)
10. Yuan, L., Du, Y., He, Y., Lü, M., Cheng, Z.: Anti-collision algorithm of ALOHA tag with
dynamic recognition of packet dynamic frame slots in parallel. J. Electron. Inf. Technol. 40(4),
944–950 (2018)
11. Chen, R.: Improved ALOHA anti-collision algorithm based on dynamic frame time slot. J.
Qiqihar Univ. (Nat. Sci. Ed.) 32(1), 21–25 (2016)
12. Wang, D., Li, X.-W.: A dynamic frame slot ALOHA algorithm for accurate tag estimation in
dynamic RFID systems. J. China Railw. Soc. 40(7), 88–92 (2018)
13. Li, L., Cui, X., Li, M.: Research on anti-collision algorithms in tag moving scenes. Res.
Comput. Appl. https://doi.org/10.19734/j.issn.1001-3695.2018.12.0884
14. Yan, Y., Hao, R., Zhang, C., Wang, H.: Generation and analysis of pseudo chaotic sequences
of tent maps. J. Taiyuan Univ. Technol. 39(5), 66–69 (2008)
15. Katz, O., Ramon, D.A., Wagner, I.A.: A robust random number generator based on a
differential current-mode chaos. Masters Thesis, IEEE Educational Activities Department
(2008)
16. Lei, X., Sanglu, L.: Radio Frequency Identification Technology—Principle, Protocol and
System Design, 2nd edn., p. 303. Science Press, Beijing (2016)
H. Deng et al.
for the entire identification process increases linearly, which effectively improves the
efficiency of the RFID system, increases the stability of the system throughput rate, and
reduces the cost of the tags. For the identification of a large number of tags, the CIRCFSA algorithm exhibits immense potential for applications requiring fast and rapid tag
identification.
Acknowledgments. This research was supported by the Scientific Research Project of the Hunan
Provincial Department of Education (18A332), the Science and Technology Plan Project of Hunan
Province (2016TP1020), and the Application-Oriented Special Disciplines, Double First-Class
University Project of Hunan Province (Xiangjiaotong [2018] 469).
References
1. Li, X.-W.: Research on tag identification technology of mobile RFID system. Dissertation,
Southwest Jiaotong University, Chengdu (2014)
2. Zhang, X., Hu, Y.: Research on RFID anti-collision algorithm for adaptively assigning time
slots in packets. Chin. J. Electron. 44(6), 1328–1335 (2016)
3. Hou, P., Wang, Z., Yan, C.: Improvement of the anti-collision algorithm based on RFID tag.
Comput. Sci. 46(11A), 359–362 (2019)
4. Yang, L.: Research on anti-collision of mobile tag in dynamic RFID system. Dissertation,
Southwest Petroleum University (2016)
5. Su, J., Xie, L., Yang, Y., Wen, G., Meng, Q.: UHF RFID anti-collision algorithm based on
idle slot elimination. Chin. J. Electron. 45(2), 307–314 (2017)
6. Li, X.-W., Feng, Q.-Y., Chen, Y.-H.: System performance evaluation method of anti-collision
protocol in mobile RFID system. J. China Railw. Soc. 36(4), 42–47 (2014)
7. Dong, H., Sheng, K., Ma, J., Yao, H.: Research on adaptive frame slot Aloha anti-collision
algorithm based on first come first served based on tag grouping. J. Guangxi Univ. Sci.
Technol. 29(1), 61–68 (2018)
8. Xiong, T.W., Tan, X., Yan, N., et al.: Modeling and simulation of RTLS based on UHF RFID.
J. Syst. Simul. 23(1), 212–216 (2011)
9. Fu, Y., Qian, Z., Meng, J., Wang, X.: Aloha anti-collision algorithm for frame slot based on
continuous slot prediction. Chin. J. Electron. 44(9), 2081–2086 (2016)
10. Yuan, L., Du, Y., He, Y., Lü, M., Cheng, Z.: Anti-collision algorithm of ALOHA tag with
dynamic recognition of packet dynamic frame slots in parallel. J. Electron. Inf. Technol. 40(4),
944–950 (2018)
11. Chen, R.: Improved ALOHA anti-collision algorithm based on dynamic frame time slot. J.
Qiqihar Univ. (Nat. Sci. Ed.) 32(1), 21–25 (2016)
12. Wang, D., Li, X.-W.: A dynamic frame slot ALOHA algorithm for accurate tag estimation in
dynamic RFID systems. J. China Railw. Soc. 40(7), 88–92 (2018)
13. Li, L., Cui, X., Li, M.: Research on anti-collision algorithms in tag moving scenes. Res.
Comput. Appl. https://doi.org/10.19734/j.issn.1001-3695.2018.12.0884
14. Yan, Y., Hao, R., Zhang, C., Wang, H.: Generation and analysis of pseudo chaotic sequences
of tent maps. J. Taiyuan Univ. Technol. 39(5), 66–69 (2008)
15. Katz, O., Ramon, D.A., Wagner, I.A.: A robust random number generator based on a
differential current-mode chaos. Masters Thesis, IEEE Educational Activities Department
(2008)
16. Lei, X., Sanglu, L.: Radio Frequency Identification Technology—Principle, Protocol and
System Design, 2nd edn., p. 303. Science Press, Beijing (2016)