Achieving Ambient Intelligence in Addressing the COVID-19 Pandemic Using Fog Computing-Driven IoT

Oshin Rawlley, Shashank Gupta
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引用次数: 1

Abstract

In this chapter, the authors present a comprehensive review on how the fog computing-based IoT can be utilized for the outbreak prevention and its existing control systems. The authors have also explained how numerous edge computing devices (e.g., sensors/actuators, RFID systems, webcams, drones, etc.) are playing a key role in controlling this disease using IoT protocols like 6LoWPAN. In addition, the authors also emphasize IoT security attacks and vulnerabilities which are prevalent in the existing infrastructure setup of smart cities. The key aspects of emerging uses of IoT (such as smart retail store automation, smart transportation, smart waste management, etc.) are described that played a key role in controlling this epidemic in the existing infrastructure of sustainable smart cities. Finally, some future research directions are also discussed that highlight the steps in mitigating the effect of this pandemic using fog-enabled IoT and AI techniques.
利用雾计算驱动的物联网实现应对COVID-19大流行的环境智能
在本章中,作者全面回顾了基于雾计算的物联网如何用于疫情预防及其现有控制系统。作者还解释了众多边缘计算设备(例如传感器/执行器、RFID系统、网络摄像头、无人机等)如何使用6LoWPAN等物联网协议在控制这种疾病方面发挥关键作用。此外,作者还强调了在智慧城市现有基础设施设置中普遍存在的物联网安全攻击和漏洞。描述了物联网新兴用途的关键方面(如智能零售商店自动化,智能交通,智能废物管理等),这些方面在可持续智慧城市的现有基础设施中控制这种流行病方面发挥了关键作用。最后,还讨论了一些未来的研究方向,这些方向强调了使用支持雾的物联网和人工智能技术减轻这次大流行影响的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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