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Minimum-cost deployment of adjustable readers to provide complete coverage of tags in RFID systems

机译:以最低的成本部署可调式阅读器,以完全覆盖RFID系统中的标签

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摘要

In Internet of things (IoT), radio frequency identification (RFID) plays an important role to help people rapidly obtain information of objects associated with tags. Passive tags are cheap and require no batteries to operate, so they are widely used in RFID applications. Readers, on the other hand, have to provide power to activate passive tags to get their data. However, collision occurs when two readers send signals to a tag at the same time. Therefore, it is critical to decide the locations of readers, namely reader deployment, to avoid collision. This paper considers adjustable readers, whose transmitted power is configurable to provide different communication range, and proposes a minimum-cost RFID reader deployment (MR2D) problem. Given the positions of tags, it determines how to deploy readers and adjust their transmitted power to cover all tags, such that we can use the minimum number of readers and save their energy. To facilitate data transmission and reduce hardware cost, we restrict the number of tags that each reader can cover and allow readers to have few overlapped tags in their communication range. Then, we develop an efficient solution to the MR2D problem by clustering tags into groups and placing a reader to cover each group to meet the above conditions. Simulation results show that our proposed solution not only saves the number of RFID readers but also reduces their energy consumption, as compared with existing methods.
机译:在物联网(IoT)中,射频识别(RFID)扮演着重要角色,可帮助人们快速获取与标签关联的对象的信息。无源标签价格便宜,不需要电池即可工作,因此它们被广泛用于RFID应用中。另一方面,读取器必须提供激活无源标签以获取其数据的功能。但是,当两个读取器同时将信号发送到标签时,就会发生冲突。因此,决定读取器的位置(即读取器部署)以避免冲突至关重要。本文考虑了可调式阅读器,其发射功率可配置为提供不同的通信范围,并提出了一种成本最低的RFID阅读器部署(MR2D)问题。给定标签的位置,它确定如何部署阅读器并调整其传输功率以覆盖所有标签,从而使我们可以使用最少数量的阅读器并节省能量。为了促进数据传输并降低硬件成本,我们限制了每个阅读器可以覆盖的标签数量,并允许阅读器在其通信范围内只有很少的重叠标签。然后,我们通过将标签聚类成组并放置一个读取器来覆盖每个组以满足上述条件,从而开发出一种有效的MR2D问题解决方案。仿真结果表明,与现有方法相比,我们提出的解决方案不仅节省了RFID阅读器的数量,而且降低了能耗。

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