摘要
在RFID系统中帧时隙ALOHA算法的基础上,提出了一种基于贝叶斯估计的动态帧时隙ALOHA算法,与传统的算法相比,它不仅能够充分利用阅读器在当前帧收集的信息,而且将先前帧的信息保留作为当前帧的先验信息;再根据贝叶斯理论对标签个数进行估计并动态调整帧长.该算法能够更精确稳定地估计标签的个数,提高系统的吞吐率,加快标签识别速度.
In radio frequency identification (RFID) system,one of the key problems is the collision between tags which lowers the throughput of the system. The framed slotted ALOHA algorithm is a widely used algorithm in the anti-collision field of RFID system. The main challenge of the algorithm is the accurate estimation of unidentified tags. A dynamic framed slotted ALOHA algorithm is presented based on Bayesian estimation. Compared with the conventional algorithms,this algorithm takes the advantage of the evidence in previous frames as the priori information of the current frame which leads to the precise estimation of the tag number and rational frame length adjustment. The simulation results show that the algorithm can improve the average throughput of the RFID system and reduce the total slots used to identify tags.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2010年第7期74-77,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(30570611
60773210)
关键词
射频识别
时隙
帧
吞吐率
贝叶斯估计
radio frequency identification (RFID) slot frame throughput Bayesian estimation