摘要
为了提高射频识别(RFID)系统的多目标识别效率,研究了识别中的标签冲突,并对主流防冲突算法——根据标签数动态调整帧长的动态帧时隙ALOHA算法(DFSA算法)进行改进,建立了基于3级随机数适时选择机制的改进算法的数学模型。这种新的改进算法通过3级随机数优先级的划分,解决了碰撞时隙的重新利用,提高了算法的时隙利用率,也在DFSA算法的基础上大幅提高了算法吞吐率,解决了DFSA算法最高吞吐率36.8%的瓶颈。仿真结果表明,此改进算法可以使系统识别效率提高到69.35%,从而验证了此算法的有效性,为以后防碰撞算法的研究奠定了基础。
To raise a radio frequency identification （RFID） system＇ s multi-object identification efficiency, sion problem in RFID was studied. Then, the mainstream anti-collision algorithm, i.e. the dynamic the tag colli- framed slotted ALOHA （DFSA） algorithm was improved, and the mathematical model for a new improved algorithm for the DFSA based on the 3-level random number timely selection mechanism was established. The new improved algorithm reu- ses collision timeslots according to the definition of the priorities of the random number group, throughput rate can be greatly increased, and the DFSA algorithm＇ s throughput bottleneck of 36.8% can be solved. The simulation re- suits show that the new improved algorithm can make the syetem identification efficiency up to 69.35 %, so its ef- fectiveness is verified. The study lays the foundation for the anti-collision algorithm research.
出处
《高技术通讯》
CAS
CSCD
北大核心
2015年第3期313-318,共6页
Chinese High Technology Letters
基金
国家自然科学基金(61301073)资助项目
关键词
动态帧时隙AOLHA
标签随机数
防冲突
射频识别(RFID)
dynamic framed slotted ALOHA, random number of the label, anti-collision, radio frequency identification （RFID）
