Tong Xiao, Guoliang Yu, Zhiyu Jin, Chunxue Ji, Longshan Wang, Fan Zhang
{"title":"改进的基于aloha的RFID标签防碰撞算法","authors":"Tong Xiao, Guoliang Yu, Zhiyu Jin, Chunxue Ji, Longshan Wang, Fan Zhang","doi":"10.1109/ICIST55546.2022.9926819","DOIUrl":null,"url":null,"abstract":"An improved RFID tag anti-collision algorithm based on ALOHA is proposed to aim at the tag conflict problem in the RFID technology system. By effectively grouping the tags to be identified and finding out the best response probability for each time slot of each group, the recognition time of the reader is shortened, and the tag conflict chance is effectively reduced. Proposes a system label estimation method, realizes the read-write system label automatic estimation and improves the system recognition label efficiency. Simulation results show that the algorithm proposed in this paper compared with the traditional dynamic frame time slot ALOHA algorithm, the throughput rate is significantly improved, the average consumption time slot number is significantly reduced, and the conflict probability is reduced by 7.3%, effectively reducing the occurrence of conflict in the process of multi-tag recognition, and at the same time improving the system operating efficiency.","PeriodicalId":211213,"journal":{"name":"2022 12th International Conference on Information Science and Technology (ICIST)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved ALOHA-based RFID Tag Anti-collision Algorithm\",\"authors\":\"Tong Xiao, Guoliang Yu, Zhiyu Jin, Chunxue Ji, Longshan Wang, Fan Zhang\",\"doi\":\"10.1109/ICIST55546.2022.9926819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved RFID tag anti-collision algorithm based on ALOHA is proposed to aim at the tag conflict problem in the RFID technology system. By effectively grouping the tags to be identified and finding out the best response probability for each time slot of each group, the recognition time of the reader is shortened, and the tag conflict chance is effectively reduced. Proposes a system label estimation method, realizes the read-write system label automatic estimation and improves the system recognition label efficiency. Simulation results show that the algorithm proposed in this paper compared with the traditional dynamic frame time slot ALOHA algorithm, the throughput rate is significantly improved, the average consumption time slot number is significantly reduced, and the conflict probability is reduced by 7.3%, effectively reducing the occurrence of conflict in the process of multi-tag recognition, and at the same time improving the system operating efficiency.\",\"PeriodicalId\":211213,\"journal\":{\"name\":\"2022 12th International Conference on Information Science and Technology (ICIST)\",\"volume\":\"183 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 12th International Conference on Information Science and Technology (ICIST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIST55546.2022.9926819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 12th International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST55546.2022.9926819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved ALOHA-based RFID Tag Anti-collision Algorithm
An improved RFID tag anti-collision algorithm based on ALOHA is proposed to aim at the tag conflict problem in the RFID technology system. By effectively grouping the tags to be identified and finding out the best response probability for each time slot of each group, the recognition time of the reader is shortened, and the tag conflict chance is effectively reduced. Proposes a system label estimation method, realizes the read-write system label automatic estimation and improves the system recognition label efficiency. Simulation results show that the algorithm proposed in this paper compared with the traditional dynamic frame time slot ALOHA algorithm, the throughput rate is significantly improved, the average consumption time slot number is significantly reduced, and the conflict probability is reduced by 7.3%, effectively reducing the occurrence of conflict in the process of multi-tag recognition, and at the same time improving the system operating efficiency.