A Fog Computing-Based Automotive Data Overload Protection System with Real-Time Analysis

摘要

As researchers on autonomous vehicles have progressed actively, the importance of automobile networks has increased. This shows the limitations of the existing real-time response service and the automobile network that can not be used effectively in terms of the abundant data capacity that occurs in real-time data transmission/reception and judgment, control point recognition and mapping, environment recognition sensor. Vehicle networks are also undergoing research to resolve technical communication for local communication and smooth communication between vehicles through roadside peripherals. In this paper, we propose a fog computing based automobile data overload system to prevent data overload through efficient use of real-time data of automobile network using fog computing technology.