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