ĐÁNH GIÁ CÁC GIAO THỨC CÂY TRUY VẤN DỰA TRÊN TRI THỨC VỚI CÁC PHÂN BỐ THẺ RFID KHÁC NHAU

jos.hueuni.edu.vn Tập 134, Số 2A, 2025 125 and Electronics Engineers and Association for Computing Machinery, vol. 23, no. 1, pp. 255–268, 2015, doi: 10.1109/TNET.2013.2295839. 9. F. Yang, Y. Yang, H. Chen, S. Ren, and L. Zhao, “A Low Complexity Anti-Collision Algorithm for Radio Frequency Identification Using Query Tree,” in Proceedings of the 2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, 2018, vol. 10110001, pp. 6–7, doi: 10.1109/CSQRWC.2018.8455646. 10. M. M. Samsami and N. Yasrebi, “Novel Radio Frequency Identification Anti-Collision Algorithm Based on the Monte–Carlo Query Tree Search,” Wireless Networks, vol. 27, no. 1, pp. 621–634, 2021, doi: 10.1007/s11276-020-02466-1. 11. M. A. Bonuccelli, F. Lonetti, and F. Martelli, “Exploiting Identification Knowledge for Tag Identification in Radio Frequency Identification Networks,” in Proceedings of the Fourth Association for Computing Machinery Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor and Ubiquitous Networks, October 2007, pp. 70–77, doi: 10.1145/1298197.1298210. 12. J. Sung, D. Kim, T. Kim, and J. Choi, “Heuristic Query Tree Protocol: Use of Known Tags for Radio Frequency Identification Tag Anti-Collision,” Transactions on Communications, Institute of Electronics, Information and Communication Engineers, vol. E95-B, no. 2, pp. 603–606, 2012, doi: 10.1587/transcom.E95.B.603. 13. Y.-C. Lai, R. Jayadi, S.-C. Huang, and Y.-H. Chen, “Query Tree with Knowledge-Based Splitting for

Radio Frequency Identification Tag Identification,” in Proceedings of the 2018 International Conference on Sensors, Signal and Image Processing, October 2018, pp. 24–28, doi: 10.1145/3290589.3290592. 14. V.-H. Le, D.-N.-Q. Nguyen, and V.-M.-N. Vo, “An Improved Q-Learning Algorithm Integrated into the Aloha Anti-Collision Protocol for Energy-Efficient Radio Frequency Identification Systems,” The International Arab Journal of Information Technology, vol. 22, no. 1, pp. 51–59, January 2025, doi: 10.34028/iajit/22/1/5.