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Cardinality estimation using collective interference for large-scale RFID systems

机译:使用集体干扰的大规模RFID系统基数估计

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Estimating the number (cardinality) of Radio Frequency Identification (RFID) tags is a principal problem for large-scale RFID systems. This paper proposes a novel protocol for RFID cardinality estimation using synchronized response signals. For every estimation round, we need a single time-slot to parse multi-bit information from the synchronized signals that are concurrently transmitted from tags. Our protocol guarantees satisfaction of an arbitrary accuracy requirement within the smallest number of time-slots compared to existing estimation protocols. The efficiency of our protocol is based on two components: tags' synchronization and random number generation from a geometric distribution. We design these components to be feasible without heavy computation or memory overhead, and our protocol can be applied to low-cost and resource-constrained passive RFID tags. We have implemented a proof of concept prototype using software defined radio and programmable RFID tags. By conducting large-scale simulations, we have shown that our protocol outperforms the existing cardinality estimation protocols.
机译:估计射频识别(RFID)标签的数量(基数)是大规模RFID系统的主要问题。本文提出了一种使用同步响应信号进行RFID基数估计的新协议。对于每个估计回合,我们都需要一个时隙来解析来自标签同时发送的同步信号中的多位信息。与现有的估算协议相比,我们的协议可确保在最少的时隙内满足任意精度要求。我们协议的效率基于两个组成部分:标签的同步和根据几何分布生成随机数。我们将这些组件设计为可行的,而没有大量的计算或内存开销,并且我们的协议可以应用于低成本和资源受限的无源RFID标签。我们已经使用软件定义的无线电和可编程RFID标签实施了概念证明原型。通过进行大规模的仿真,我们表明我们的协议优于现有的基数估计协议。

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