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Let's work together: Fast tag identification by interference elimination for multiple RFID readers

机译：让我们一起工作：对多个RFID读取器的干扰消除快速标记识别

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Fast tag identification is a fundamental challenging problem in multi-reader RFID systems. The challenge is how to effectively handle Reader-Tag (RT) collisions and Reader-Reader (RR) collisions among adjacent readers. These collisions are caused by interfering signals simultaneously transmitted by the readers, and may disallow adjacent readers to work together. Prior works tackle this problem by scheduling adjacent readers to work in different time slots. The readers that are selected to simultaneously work, however, are usually only a small proportion of the total readers. This greatly restricts the identification throughput. Our insightful investigation on the current tag identification protocol reveals that RT collisions are caused by asynchronous actions of readers. i.e., a reader transmits signal while its adjacent readers receive. We thus develop Slot Splitting, a technique that can completely eliminate RT collisions by synchronizing actions of readers. We also propose a reader selection algorithm that minimizes RR collisions by selecting a reader set with maximum reading efficiency. The combination of these new techniques inspires Federal, a Fast and efficient tag identification protocol with interference-elimination-based reader scheduling. To our knowledge, Federal is the first identification protocol that completely eliminates RT collisions and minimizes RR collisions in both regularly and randomly deployed multi-reader systems. We validate the feasibility of Slot Splitting with experiments on the USRP platform and evaluate the performance of Federal through extensive simulations. The results show that Federal can increase tag identification throughput by up to 218% compared with the state-of-the-art work.
机译：快速标签识别是多读者RFID系统中的一个基本挑战性问题。挑战是如何在相邻读取器之间有效地处理读取器标签（RT）冲突和读者读取器（RR）冲突。这些碰撞是由读取器同时发送的信号引起的，并且可以禁止相邻的读者一起工作。先前作品通过调度相邻读者在不同的时隙中工作来解决此问题。然而，选择以同时工作的读者通常只是总读者的一小部分。这极大地限制了识别吞吐量。我们对当前标签识别协议的洞察力调查显示RT碰撞是由读者异步动作引起的。即，读取器在其相邻读取器接收的同时发送信号。因此，我们开发时隙分裂，一种技术可以通过同步读取器的动作来完全消除RT冲突。我们还提出了一种读者选择算法，其通过选择具有最大读取效率的读取器集来最小化RR冲突。这些新技术的组合激发了基于干扰的读卡器调度的联邦，快速高效的标签识别协议。据我们所知，联邦是第一个完全消除RT冲突的识别协议，并在定期和随机部署的多读者系统中最小化RR冲突。我们验证了在USRP平台上的实验中的插槽分配的可行性，并通过广泛的模拟评估联邦的性能。结果表明，与最先进的工作相比，联邦可以将标签识别吞吐量增加到218％。

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