Abstract
The traditional cloud model is unable to meet the expectations of the Internet of Things (IoT) because it lacks the necessary capabilities. Some IoT applications, such as smart transportation and healthcare, necessitate characteristics, such as responsiveness, geographical distribution, latency, and location awareness, which are lacking in cloud-based Internet of Things systems. The fog computing paradigm is linked with the Internet of Things (IoT) in order to enable these characteristics, resulting in the creation of the Fog-IoT paradigm model. Through the use of “fog computing,” it is possible to move computer power closer to the network edge, where it may be used more efficiently. With an emphasis on Internet of Things applications, this chapter investigates fog-assisted IoT applications and summarizes current fog computing research with a focus on IoT applications. Finally, challenges related to fog computing are highlighted in order to evoke new research opportunities within the framework of the Fog-IoT paradigm model.
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