Research and Application of Intelligent Internet of Vehicles Model Based on Fog Computing

Abstract

Fog computing, IoT and big data are hot topics in the research of computer application technology at home and abroad nowadays. With the high-speed application of Internet of Things, the data generated by edge devices grows rapidly, and data that is valid or useless is sent to the cloud, which cause data loss, network congestion, and severe shortage of bandwidth resources. A architecture based on fog computing and its distributed computing solution are proposed to solve these problems. Taking full advantages of architectures based on fog computing to build an intelligent Internet of Vehicles application system is to give better play to its “de-centralized” function and characteristics of fog computing, make its system run fast, stably and accurately, optimize the system structure, make it more simple, modular and intelligent, at the same time, reduce the network deployment and operation costs, make the network deployment between vehicles and vehicles, roads and roadside equipment more reasonable, reliable and more economical, provide theoretical basis and scientific experimental basis for intellienge Internet of Vehicles applications, of which the research has social and economic value and significance.