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An Enhanced Dynamic Framed Slotted ALOHA Anti-collision Algorithm

机译:增强动态框架开槽Aloha防碰撞算法

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In RFID system, one of the problems that we must solve is the collision between tags that may occur when a reader attempts to read a number of tags simultaneously. Most of the popular anti-collision algorithms are based on the ALOHA-type algorithm, which are simple and show good performance when the number of tags to read is small. However, for ALOHA-type algorithms the time required to read the tags generally increases exponentially as the number of tag increases. Thus, they are not very efficient when the number of tags to read is large. In the paper, we propose a new anti-collision algorithm called Enhanced Dynamic Framed Slotted ALOHA (EDFSA) in which the time required to read the tags increases linearly with the number of tags. The proposed algorithm estimates the number of unread tags first and adjusts the number of responding tags or the frame size to give the optimal system efficiency. Simulation results show that the proposed algorithm improves the reading rate of data of the tags by 85~100% compared to the conventional algorithms.
机译:在RFID系统中,我们必须解决的问题之一是当读者尝试同时读取多个标记时可能发生的标签之间的碰撞。大多数流行的防碰撞算法基于Aloha型算法,当读取的标签数量小时,这很简单且显示出良好的性能。然而,对于Aloha型算法,随着标签的数量增加,读取标签所需的时间通常会呈指数增加。因此,当读取的标签数量大时,它们不是很有效。在本文中,我们提出了一种新的防碰撞算法,称为增强动态框架的开槽Aloha(EDFSA),其中读取标签所需的时间随着标签的数量而线性增加。所提出的算法估计未读标签的数量首先,并调整响应标签或帧大小的数量,以提供最佳的系统效率。仿真结果表明,与传统算法相比,该算法提高了标签数据的读数率85〜100%。

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