Radio Frequency Identification (RFID) technology has been used in numerous applications, e.g., supply chain management and inventory control. This paper focuses on the practically important problem of the rapid estimation of the number of tags in large-scale RFID systems with multiple readers and multicategory RFID tags. RFID readers are often static and have to be deployed strategically after careful planning to cover the entire monitoring area, but reader-to-reader collision (R2Rc) remains a problem. R2Rc decreases the reliability of the estimation of the tag population size, because it results in the failure of communication between the reader and tags. In this paper, we propose a coloring graph-based estimation scheme (CGE), which is the first estimation framework designed for multireader and multicategory RFID systems to determine the distribution of tags in different categories. CGE allows for the use of any estimation protocol to determine the number of tags, prevents R2Rc, and results in higher time efficiency and less power-consumption than the classic scheduling method DCS.

中文翻译：

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多类别和多阅读器 RFID 系统中标签数量估计的阅读器调度

射频识别 (RFID) 技术已用于多种应用，例如供应链管理和库存控制。本文重点讨论在具有多个阅读器和多类别 RFID 标签的大规模 RFID 系统中快速估计标签数量的实际重要问题。RFID 阅读器通常是静态的，必须在仔细规划以覆盖整个监控区域后进行战略部署，但阅读器与阅读器之间的碰撞 (R2Rc) 仍然是一个问题。R2Rc 降低了标签群体大小估计的可靠性，因为它会导致阅读器和标签之间的通信失败。在本文中，我们提出了一种基于着色图的估计方案（CGE），这是第一个为多阅读器和多类别 RFID 系统设计的估计框架，用于确定不同类别中标签的分布。CGE 允许使用任何估计协议来确定标签数量，防止 R2Rc，并且比经典调度方法 DCS 具有更高的时间效率和更低的功耗。