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Towards More Efficient Cardinality Estimation for Large-Scale RFID Systems

机译:面向大型RFID系统的更有效基数估计

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摘要

Radio frequency identification (RFID) cardinality estimation with an accuracy guarantee is of practical importance in various large-scale RFID applications. This paper proposes a fast RFID cardinality estimation protocol, named Zero-One Estimator (ZOE). ZOE only requires 1-bit response from the RFID tags per estimation round. More importantly, ZOE rapidly converges to optimal parameter configurations and achieves higher estimation efficiency compared to existing protocols. ZOE guarantees arbitrary accuracy requirement without imposing heavy computation and memory overhead at RFID tags except the routine operations of C1G2 standard. ZOE also provides reliable cardinality estimation with unreliable channels due to the robust protocol design. We prototype ZOE using the USRP software defined radio and the Intel WISP tags. We extensively evaluate the performance of ZOE compared to existing protocols, which demonstrates encouraging results in terms of estimation accuracy, time efficiency, as well as robustness over a large range of tag population.
机译:具有准确性保证的射频识别(RFID)基数估计在各种大规模RFID应用中具有实际重要性。本文提出了一种快速的RFID基数估计协议,称为零一估计器(ZOE)。在每个评估回合中,ZOE仅需要RFID标签提供1位响应。更重要的是,与现有协议相比,ZOE迅速收敛到最佳参数配置并实现了更高的估计效率。除C1G2标准的常规操作外,ZOE保证了任意精度要求,而不会在RFID标签上增加繁重的计算和存储开销。由于健壮的协议设计,ZOE还提供可靠的基数估计和不可靠的信道。我们使用USRP软件定义的无线电和Intel WISP标签对ZOE进行原型设计。与现有协议相比,我们广泛地评估了ZOE的性能,这表明在估计准确性,时间效率以及大范围标签种群的鲁棒性方面,令人鼓舞的结果。

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