Mobile Fog Computing

The mobile Internet of Things (IoT) has become an indispensable element across various next‐generation application domains. Specifically, mobile IoT‐enhanced land vehicles facilitate the realization of intelligent transport systems, such as assisted‐driving and autonomous driving. Further, mobile IoT improves the cost‐performance efficiency of marine activities and the unmanned aerial vehicles‐based mobile IoT by, for example, carrying out wildfire monitoring and bush firefighting missions to avoid risking life of human workers. In addition, user equipment such as smartphones also has been playing an important role in interconnecting body sensors to the central cloud for realizing smart healthcare. Although cloud‐centric IoT, which relies on the distant central server to manage the data and to make decisions, is a common practical implementation, it faces the challenge in fulfilling time‐critical responses derived from the dynamic factors of the end‐to‐end communication. Therefore, researchers have introduced fog computing architecture, which decentralizes the IoT systems in which the systems distribute certain processes and decision‐making to the intermediate gateway nodes between the end‐devices and the cloud. Explicitly, fog computing architecture is capable of overcoming the latency problem and also improving the efficiency of cloud‐centric IoT. However, it also raises numerous new challenges in mobile IoT in terms of reliability, heterogeneity, serviceability, dynamic context factors, and so forth. In order to provide a guideline to mobile IoT and pervasive application developers who intend to integrate fog computing architecture, this chapter encompasses a comprehensive discussion on mobile fog computing on the topics of application domains, communication technologies, nonfunctional requirements, and open challenges.