使用雾计算功能的IoT/IoE智能医疗保健系统

Rawia Talal, Abdul-Bary Raouf Suleiman
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引用次数: 2

摘要

万物互联技术为改善人类健康和福祉提供了一种有效的、结构化的方法。提供基于物联网的医疗保健服务的一种实用方法是使用智能医疗保健实时监控人体健康,智能医疗保健通过特定的无线通信协议将数据发送到网关。然后将实时数据传输到远程雾计算节点进行实时、可视化、处理和分析。在本文中,我们利用雾计算的概念,提供嵌入式先进技术和服务,例如从不同来源收集原始数据并过滤重复信息以产生汇总信息,这被称为数据聚合,从而增强这样的健康监测系统。雾计算还将聚合信息存储在分布式存储中,这提供了许多优点,如可用性、低成本和可伸缩性。最后,雾计算在网络边缘提供通知服务,有助于避免紧急情况的发生。采用Cisco数据包跟踪器7.2对所提出的智能医疗保健平台进行编程和实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT/IoE Smart Health Care System using Fog Computing Features
A competent and structured approach to improve the health and well-being of humanity is provided by the Internet of everything technology. One of the practical ways to provide healthcare services based on IoE is to monitor human health in real-time using smart healthcare that sends the data to the gateway through a particular wireless communication protocol. The real-time data is then transmitted to a remote Fog computing node for real-time, visualization, processing, and analyzing. In this paper, we enhance such a health monitoring system by taking advantage of the concept of fog computing providing embedded advanced techniques and services, such as gathering raw data from different sources and filter the duplicity to produce summary information which is known as data aggregation. Fog computing also stores the aggregated information in distributed storage which provides many advantages like availability, low cost, and scalability. Finally, fog computing provides notification service at the edge of the network which contributes to avoid critical situations. Cisco packet tracer 7.2 is used to program and implement the proposed smart health care platform.
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