Fog Computing

1Mobile Fog Computing

Chii Chang, Amnir Hadachi, Jakob Mass, and Satish Narayana Srirama

Institute of Computer Science, University of Tartu, Estonia

1.1 Introduction

The Internet of Things (IoT) paradigm motivates various next-generation applications in the domains of smart home, smart city, smart agriculture, smart manufacturing, smart mobility, and so forth [1], where the online systems are capable of managing physical objects, such as home appliances, public facilities, farming equipment or production line machines via the Internet. Moreover, mobile objects, such as land vehicles (e.g. cars, trucks, buses, etc.), maritime transports (e.g. ships, boats, vessels, etc.), unmanned aerial vehicles (UAVs; e.g. drones), and user equipment (UE; e.g. smartphones, tablets, mobile Internet terminals, etc.), have become the indispensable elements in IoT to assist a broad range of mobile IoT applications.

Mobile IoT applications emphasize the connectivity and the interoperability among the IoT infrastructure and the mobile objects. For example, in an Internet of Vehicles (IoVs) application [2], the IoT-based smart traffic infrastructure provides the connected roadside units (RSUs) that assist the smart cars to exchange the current traffic situation of the city center toward reducing the chance of traffic accidents and issues. As another example, classic disaster recovery activities of a city require numerous manned operations to monitor the disaster conditions, which involve high risk ...