Through the latest technological and conceptual developments, the centralized cloud-computing approach has moved to structures such as edge, fog, and the Internet of Things (IoT), approaching end users. As mobile network operators (MNOs) implement the new 5G standards, enterprise computing function shifts to the edge. In parallel to interconnection topics, there is the issue of global impact over the environment. The idea is to develop IoT devices to eliminate the greenhouse effect of current applications. Radio-frequency identification (RFID) is the technology that has this potential, and it can be used in applications ranging from identifying a person to granting access in a building. Past studies have focused on how to improve RFID communication or to achieve maximal throughput. However, for many applications, system latency and availability are critical aspects. This paper examines, through stochastic Petri nets (SPNs), the availability, dependability, and latency of an object-identification system that uses RFID tags. Through the performed analysis, the optimal balance between latency and throughput was identified. Analyzing multiple communication scenarios revealed the availability of such a system when deployed at the edge layer.

中文翻译：

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物联网环境中 RFID 对象识别系统的可用性

通过最新的技术和概念发展，集中式云计算方法已转向边缘、雾和物联网 (IoT) 等结构，从而接近最终用户。随着移动网络运营商 (MNO) 实施新的 5G 标准，企业计算功能转移到边缘。与互连主题并行的还有全球环境影响问题。这个想法是开发物联网设备以消除当前应用的温室效应。射频识别 (RFID) 是具有这种潜力的技术，它可用于从识别人员到授予进入建筑物的各种应用。过去的研究集中在如何改进 RFID 通信或实现最大吞吐量。但是，对于许多应用程序，系统延迟和可用性是关键方面。本文通过随机 Petri 网 (SPN) 检查使用 RFID 标签的对象识别系统的可用性、可靠性和延迟。通过执行的分析，确定了延迟和吞吐量之间的最佳平衡。分析多个通信场景揭示了这种系统在边缘层部署时的可用性。