现代电子技术2024，Vol.47Issue(8)：61-67,7.DOI:10.16652/j.issn.1004-373x.2024.08.010
基于BSO-BP改进动态帧时隙算法的密集环境下RFID标签读写优化方法
Optimization method for RFID tag reading and writing in dense environments based on BSO-BP improved dynamic frame time slot algorithm
摘要
Abstract
Wireless radio frequency identification technology,as a key technology of the Internet of Things,is constantly developing and widely applied in the manufacturing industry of China.In order to solve the data collision phenomenon caused by the competition of channels during the reading and writing of a large number of wireless radio frequency identification tags,accurate estimation of the number of tags is required.On the basis of the traditional dynamic frame time slot algorithm,the Tian Niu swarm search algorithm is used to find the optimal initial weight and threshold of the BP neural network,and the optimal value is used to the parameter set of BP neural network,achieving accurate estimation of the number of labels.The production effect of RFID(radio frequency identification)bound power cords by experiments and actual use by enterprises proves that,in combination with the traditional dynamic frame time slot algorithm,the proposed improved algorithm can not only ensure the accuracy of reading,but also shorten the reading time,effectively improving the efficiency of the system.关键词
无线射频识别技术/动态帧时隙/密集环境/BSO算法/BP神经网络/天牛群搜索算法Key words
RFID/dynamic frame time slots/dense environment/BSO algorithm/BP neural network/Tian Niu Qun search algorithm分类
电子信息工程引用本文复制引用
王思源,洪涛,姜逸璇..基于BSO-BP改进动态帧时隙算法的密集环境下RFID标签读写优化方法[J].现代电子技术,2024,47(8):61-67,7.基金项目
浙江省基础公益研究计划项目(LGG22E050011) （LGG22E050011）
