现代信息科技2024，Vol.8Issue(3)：176-181,6.DOI:10.19850/j.cnki.2096-4706.2024.03.037
基于碰撞位特征值的RFID标签识别算法研究
Research on RFID Label Identification Algorithm Based on Collision Bit Eigenvalue
摘要
Abstract
Massive labels will be deployed in the system perceptive layer of"Artificial Intelligence&Internet of Things(AIoT)"network.To quickly obtain information about items with pasted labels,a label anti-collision algorithm based on eigenvalue strategy is designed.By combining the binary characteristics of electronic label ID identification codes and exclusive or operation,any two collision bits can be accurately inferred,thereby eliminating queries for invalid nodes and accelerating the query process.The simulation results show that the proposed algorithm reduces the idle time slot and the total number of queries effectively,and improves the system efficiency.When the number of labels is 20 000,the system efficiency of the proposed algorithm reaches 0.43,which is 24%higher than that of the classical query tree algorithm,and the total number of queries decreased by 10 905.关键词
射频识别/标签防碰撞/特征值/树算法Key words
RFID/label anti-collision/eigenvalue/tree algorithm分类
信息技术与安全科学引用本文复制引用
付钰,朱弘旭,刘鑫,文聪敏..基于碰撞位特征值的RFID标签识别算法研究[J].现代信息科技,2024,8(3):176-181,6.基金项目
广州市基础与应用基础研究项目(2023A04J0379) （2023A04J0379）
广东省教育厅特色创新项目(2022KTSCX253) （2022KTSCX253）
广东省教育厅青年创新人才项目(2022WQNCX145) （2022WQNCX145）
广东省继续教育质量提升工程项目(JXJYGC2021KY0631) （JXJYGC2021KY0631）
2023年全国高等院校计算机基础教育研究会"计算机基础教育教学研究项目"(2023AFCEC204) （2023AFCEC204）
