Embedding Radio-Frequency IDentification (RFID) into everyday objects to construct ubiquitous networks has been a long-standing goal. However, a major problem that hinders the attainment of this goal is the current inefficient reading of RFID tags. To address the issue, the research community introduces the technique of Bloom Filter (BF) to RFID systems. This work presents TagMap, a practical solution that acquires BFs across commercial off-the-shelf (COTS) RFID tags in the physical layer , enabling upper applications to boost their performance by orders of magnitude. The key idea is to treat all tags as if they were a single virtual sender, which hashes each tag into different intercepted inventories . Our approach does not require hardware nor firmware changes in commodity RFID tags - allows for rapid, zero-cost deployment in existing RFID tags. We design and implement TagMap reader with commodity device (e.g., USRP N210) platforms. Our comprehensive evaluation reveals that the overhead of TagMap is 66.22% lower than the state-of-the-art solution, with a bit error rate of 0.4%.

中文翻译：

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跨物理层中的商用RFID获取Bloom过滤器

将射频识别（RFID）嵌入到日常对象中以构建无处不在的网络一直是一个长期的目标。然而，阻碍实现该目标的主要问题是当前RFID标签的读取效率低下。为了解决这个问题，研究团体介绍了布隆过滤器（BF）到RFID系统。这项工作提出了TagMap，实际的 解决方案，该解决方案可通过以下方式在商业现成的（COTS）RFID标签中获取高炉 物理层 ，使上层应用程序的性能提高几个数量级。关键思想是将所有标签视为单个虚拟发件人，从而将每个标签散列为不同的截获的库存 。我们的方法不需要在商品RFID标签中进行硬件或固件更改-允许在现有RFID标签中进行快速，零成本的部署。我们使用商品设备（例如USRP N210）平台设计和实现TagMap阅读器。我们的综合评估表明，TagMap的开销比最新解决方案低66.22％，误码率为0.4％。