摘要
When the radio frequency identification(RFID)system inventories multiple tags,the recognition rate will be seriously affected due to collisions.Based on the existing dynamic frame slotted Aloha(DFSA)algorithm,a sub-frame observation and cyclic redundancy check(CRC)grouping combined dynamic framed slotted Aloha(SUBF-CGDFSA)algorithm is proposed.The algorithm combines the precise estimation method of the quantity of large-scale tags,the large-scale tags grouping mechanism based on CRC pseudo-randomcharacteristics,and the Aloha anti-collision optimization mechanism based on sub-frame observation.By grouping tags and sequentially identifying themwithin subframes,it accurately estimates the number of remaining tags and optimizes frame length accordingly to improve efficiency in large-scale RFID systems.Simulation outcomes demonstrate that this proposed algorithmcan effectively break through the system throughput bottleneck of 36.8%,which is up to 30%higher than the existing DFSA standard scheme,and has more significant advantages,which is suitable for application in largescale RFID tags scenarios.
基金
supported in part by National Natural Science Foundation of China(U22B2004,62371106)
in part by the Joint Project of China Mobile Research Institute&X-NET(Project Number:2022H002)
in part by the Pre-Research Project(31513070501)
in part by National Key R&D Program(2018AAA0103203)
in part by Guangdong Provincial Research and Development Plan in Key Areas(2019B010141001)
in part by Sichuan Provincial Science and Technology Planning Program of China(2022YFG0230,2023YFG0040)
in part by the Fundamental Enhancement Program Technology Area Fund(2021-JCJQ-JJ-0667)
in part by the Joint Fund of ZF and Ministry of Education(8091B022126)
in part by Innovation Ability Construction Project for Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT(2303-510109-04-03-318020).
