CAJ | 학술논문

　　为解决射频识别系统中多标签防碰撞问题，在现有 ALOHA 算法的基础上提出了一种改进的分组动态帧时隙 ALOHA 算法。当大量标签同时进入阅读器识别范围内时，算法通过设置一个阈值把要响应的标签分成两组，符合条件的一组去响应阅读器，不符合条件的暂时不响应，该算法通过分组限制响应标签数量达到较高的识别效率。仿真结果表明，该算法在标签数大于256甚至更多时识别效率也能维持在相对较高的数值。
　　위해결사빈식별계통중다표첨방팽당문제，재현유 ALOHA 산법적기출상제출료일충개진적분조동태정시극 ALOHA 산법。당대량표첨동시진입열독기식별범위내시，산법통과설치일개역치파요향응적표첨분성량조，부합조건적일조거향응열독기，불부합조건적잠시불향응，해산법통과분조한제향응표첨수량체도교고적식별효솔。방진결과표명，해산법재표첨수대우256심지경다시식별효솔야능유지재상대교고적수치。
In order to solve the problem of collision between multi-tag in RFID (Radio Frequency Identification) system, an improved grouped dynamic frame slotted ALOHA algorithm based on the existing ALOHA algorithm is proposed. When large numbers of tags come to this filed at the same time, the algorithm would divide them into two groups through the prcset threshold. One group that match as the condition would respond to the reader, while the other group not. This algorithm can achieve high discernment efficiency by grouping and restricting the number of responsding tags. Simulation results show that, the identification efficiency is maintained at a relatively high value when the number of tags in the algorithm is greater than 256.