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A Modified BA Anti-Collision Protocol for Coping with Capture Effect and Interference in RFID Systems

机译:一种改进的BA防冲突协议,用于应对RFID系统中的捕获效应和干扰

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Radio frequency identification (RFID) technology has widely been used in the last few years. Its applications focus on auto identification, tracking, and data capturing issues. However, RFID suffers from the main problem of tags collision when multiple tags simultaneously respond to the reader request. Many protocols were proposed to solve the collision problems with good identification efficiency and an acceptable time delay, such as the blocking anti-collision protocol (BA). Nevertheless, most of these protocols assumed that the RFID reader could decode the tag’s signal only when there was one tag responding to the reader request once each time. Hence, they ignored the phenomenon of the capture effect, which results in identifying the tag with the stronger signal as the multiple tags simultaneously respond. As a result, many tags will not be identified under the capture effect. Therefore, the purpose of this paper is to take the capture effect phenomenon into consideration in order to modify the blocking BA protocol to ensure a full read rate, i.e., identifying all the tags in the frame without losing any tag. Moreover, the modifications include distinguishing between collision and interference responses (for the period of staying tags) in the noisy environments, for the purpose of enhancing the efficiency of the identification. Finally, the simulation and analytical results show that our modifications and MBA protocol outperform the previous protocols in the same field, such as generalized query tree protocols (GQT1 and GQT2), general binary tree (GBT), and tweaked binary tree (TBT).
机译:在最近几年中,射频识别(RFID)技术已被广泛使用。它的应用程序专注于自动识别,跟踪和数据捕获问题。然而,当多个标签同时响应读取器请求时,RFID遭受标签冲突的主要问题。提出了许多协议来解决冲突问题,这些协议具有良好的识别效率和可接受的时间延迟,例如阻塞防冲突协议(BA)。尽管如此,大多数协议都假定RFID读取器只能在每次有一个标签响应读取器请求时才解码标签的信号。因此,他们忽略了捕获效应的现象,当多个标签同时响应时,该现象导致用较强的信号识别标签。结果,在捕获效果下将无法识别许多标签。因此,本文的目的是考虑捕获效应现象,以修改阻塞BA协议以确保全读取速率,即,识别帧中的所有标签而不会丢失任何标签。此外,这些修改包括在嘈杂的环境中区分碰撞响应和干扰响应(在标签停留期间),以提高识别效率。最后,仿真和分析结果表明,我们的修改和MBA协议在同一领域优于以前的协议,例如通用查询树协议(GQT1和GQT2),通用二叉树(GBT)和调整后的二叉树(TBT)。

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