Research On Fog Computing Offloading Mechanism For Vanets

In the process of the automobile becoming intelligent,delay-sensitive and intensive vehicular applications are generated,which brings challenges to the computing,storage and communication capabilities of the VANETs.This thesis takes intelligent vehicle networking as the research object,and faces the low-latency application requirements of vehicle networking,and closely conducts research work on the goals of efficient resource sharing and low latency communication.Focus on solving the key challenges facing how to achieve efficient resource sharing and low latency in the case of vehicular fog computing with limited resources;exploring how to use delay-sensitive applications with high quality in the VANETs fog computing environment,and building a system of efficient offloading mechanisms based on fog computing in social VANETs,realize real-time,efficient and reliable vehicle networking resource sharing and low-latency communication.The main work of the paper is as follows:(1)Designed a vehicular fog computing architecture based on node cooperation,which reduces the communication delay and eases the communication pressure of the backbone link by cooperating with entities in the same layer.Treating vehicles as fog nodes can solve the problems of insufficient deployment of roadside units and limited resources of fog servers deployed on infrastructure.In view of the current difficulty in obtaining data from the vehicular collaborative network and the current situation of vehicles sharing their own idle resources in fog computing,this paper considers the sociality of vehicle nodes and the characteristics of vehicle communication,and uses hypergraph theory to construct a fog computing vehicle cooperation network model.It can analyze the cooperation situation of the vehicle and accurately predict the dynamic characteristics of the vehicle,thereby further improving the performance of the vehicle fog calculation and solving the problem that it is difficult to obtain the data of the vehicle cooperation network.(2)In view of the resource sharing and implementation means of the VANETs,the offloading decision and resource allocation scheme of vehicular fog computing are studied for single-site offloading.For multi-site computing offloading scenarios,an optimized delay multi-site computing offloading strategy is proposed.The strategy aims at minimizing delay,guarantees the stability of offloading through pre-selection of service nodes,and proposes a task splitting and allocation algorithm.