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System architecture for tracking passengers inside an airport terminal using RFID

机译:使用RFID跟踪机场航站楼内乘客的系统架构

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Experts predict the number of devices connected to Internet of Things will reach 50 billion in 2020. In this paper, we apply the concept of IoT to the airport management industry and investigate the utilization of RFID technology to enhance airport mobility and security. We propose a system to track passengers inside an airport terminal and focus on the optimization of its architecture. To that end, we develop a simulation model incorporating the most important parts of the system, including: An airport model based on Chicago O'Hare International Airport, a passenger trajectory model, a link budget model, a coverage model, a reader placement algorithm, a communication protocol and the limitations of available RFID technology and regulations. Next, we identify a set of architectural decisions, such as the physical limits of the system or the specific technology to be deployed, and develop performance and cost metrics to compare the plausible architectures. Then, based on the developed model and the metrics space, we present the architectural tradespace of the system and analyze the impact each decision has in order to optimize the architecture. Finally, we assess the viability of the chosen architecture in terms of coverage and tracking performance.
机译:专家预测,到2020年,连接到物联网的设备数量将达到500亿。在本文中,我们将物联网的概念应用于机场管理行业,并研究利用RFID技术来增强机场的移动性和安全性。我们提出了一种系统来跟踪机场航站楼内的乘客,并着重于其体系结构的优化。为此,我们开发了一个包含系统最重要部分的仿真模型,包括:基于芝加哥奥黑尔国际机场的机场模型,旅客轨迹模型,链接预算模型,覆盖率模型,阅读器放置算法,通信协议以及可用的RFID技术和法规的局限性。接下来,我们确定一组体系结构决策,例如系统的物理限制或要部署的特定技术,并制定性能和成本指标以比较合理的体系结构。然后,基于开发的模型和度量空间,我们介绍了系统的体系结构交易空间,并分析了每个决策所具有的影响,以优化体系结构。最后,我们根据覆盖范围和跟踪性能评估所选体系结构的可行性。

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