期刊
APPLIED SCIENCES-BASEL
卷 12, 期 22, 页码 -出版社
MDPI
DOI: 10.3390/app122211349
关键词
RFID system; unknown tag identification; RSQF-based fingerprint filter; parallel identification
类别
资金
- National Natural Science Foundation of China [61702257, 61272418]
- Open Foundation of State Key Laboratory for Novel Software Technology for Nanjing University [KFKT2021B15]
- Jinling Institute of Technology High Level Talents Research Foundation [jit-b-202118]
- Major Project of Natural Science Foundation of the Jiangsu Higher Education Institutions of China [18KJA520003, 21KJA120001]
This paper proposes a filter-based and parallel unknown tag identification protocol for RFID systems, which improves the efficiency and accuracy of identifying unknown tags by using a fingerprint filter and parallel identification scheme.
Unknown tag identification plays a pivotal role in radio frequency identification (RFID) systems, but it has not been fully investigated. This paper proposes a filter-based and parallel unknown tag identification protocol (FPUI) for open RFID systems. The FPUI adopts an RSQF-based fingerprint filter to reconcile the collision slots and discriminate the known tags from unknown tags. Meanwhile, it collects the IDs of unknown tags in parallel. FPUI achieves high performance through the following three steps: (1) adopting the RSQF-based filter to build an indicator vector, thus improving the space efficiency; (2) building a fingerprint filter to discriminate known tags from unknown tags, thus reducing the false positive rate; (3) employing a parallel identification scheme to collect the IDs of unknown tags, thus improving identification efficiency. The identification time of our protocol was minimized by conducting a theoretical analysis of the relevant parameters. Furthermore, the performance of our protocol was evaluated by conducting a wide range of simulation experiments. The theoretical analysis and simulation results indicated that our protocol significantly outperformed the current advanced protocols.
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