CAJ | 학술논문

提出一种捕获效应下基于反馈机制的RFID防碰撞算法（CEFB）。算法分三个阶段：标签分组阶段、组内分维识别阶段和反馈识别阶段。CEFB有效解决识别初期标签之间产生过多碰撞问题，通过对标签进行分维识别，加快对碰撞节点的处理，提高识别速度。同时，CEFB避免因捕获效应和信道干扰等因素影响，存在标签漏读的情况，提高标签识别率。理论分析和仿真结果表明，CEFB的性能优于其他常用的标签防碰撞算法。
제출일충포획효응하기우반궤궤제적RFID방팽당산법（CEFB）。산법분삼개계단：표첨분조계단、조내분유식별계단화반궤식별계단。CEFB유효해결식별초기표첨지간산생과다팽당문제，통과대표첨진행분유식별，가쾌대팽당절점적처리，제고식별속도。동시，CEFB피면인포획효응화신도간우등인소영향，존재표첨루독적정황，제고표첨식별솔。이론분석화방진결과표명，CEFB적성능우우기타상용적표첨방팽당산법。
It proposes a RFID anti-collision algorithm coping with capture effect which is based on feedback mechanism (CEFB). CEFB is divided into three phases:the packet phase, the fractal dimension identification phase and the feedback recognition phase. CEFB can solve the problem of excessive collisions effectively at the early stage of recognition. Adopting the fractal dimension identification algorithm, CEFB can speed up the processing of the collision node and develop read-ing speed. Meanwhile, CEFB can avoid tags misreading influenced by the capture effect and channel interference. Theo-retical analysis and simulation results show that CEFB significantly outperforms other existing anti-collision algorithms.