Fog and Edge Computing in Navigation of Intelligent Transportation System

Abstract

AbstractIntroduction to fog, edge, and cloud computing, routing on the Internet of things-based cloud vehicles, intelligent vehicle tracking and navigation, and security-based architecture using cloud computing are all covered in this chapter. In addition, the chapter cover describes a secure, privacy-preserving architecture for future vehicles using fog computing and a safe, privacy-preserving architecture for future vehicles using edge computing. Aside from that, the chapter discusses current trends in intelligent transportation systems and future research opportunities for edge computing-based vehicles. However, with the advent of the Internet of things, these devices are now producing essential data. Fog computing, its taxonomy, how it differs from cloud computing and edge computing, its applications, new technologies, and some of the issues it raises are discussed in this chapter. Residents of intelligent cities can now navigate using data from their smartphones and other smart devices. Large amounts of data, securing cloud and vehicle networks and improving service reliability, efficiency, and usability are complex tasks. The use of IoT in intelligent transportation systems, both now and in the future. A dynamic ride-sharing dilemma with an edge/fog computing solution. A lot more things will be networked when the new 5G networks launch. Cloud computing can be used in networks where there are a lot of devices sending and receiving data but with no need for high latency or traffic congestion. The network can improve mobility, security, and privacy with edge computing.KeywordsInternet of things (IoT)Electric vehicles (EVs)Internet of vehicle (IoV)Fog computing (FC)Edge computing (EC)Cloud computing (CC)Intelligent transportation system