Research On Vehicular Information-centric Networking Caching Service Policy

With the development of network technology and the widespread popularization of new vehicle-mounted network communication equipment and applications,the demand for Internet of Vehicles(IoV)has changed from the traditional security application meeting the auxiliary traffic management to the diversified and massive infotainment service application.Vehicular Information-Centric Networking(VICN)has become ahot spot because of its ability to provide large-scale IoV services and the efficient support of massive information.In this paper,the caching service strategy of VICN is deeply studied,aiming to improve the acquisition efficiency of content resources of IoV and the utilization of cache space.The main contribution and innovation of this paper are as follows:1.From the perspective of protocol support and technical support,this paper analyzes the basic architecture of VICN and proposes the caching service model of VICN.According to the different communication coverage of Road Side Unit(RSU),this paper proposes V2I caching service communication model,V2V caching service communication model and cooperative caching service communication model,and elaborates on the communication mechanism,characteristics and challenges of the three caching service communication models.2.This paper studies the caching service strategy of IoV based on edge computing,and proposes a cache storage algorithm based on node core and a cache replacement algorithm based on content naming granularity.The cache storage algorithm based on the node core degree uses the node core degree to evaluate the contribution of network nodes in caching service communication of IoV.RSU obtains the node core degree by analyzing its own vehicle access number and topology information,and makes statistics on the content popularity,grading adapts content popularity and RSU core degree,and pushes the popular content to the edge of the network.The simulation results and performance analysis show that the cache storage algorithm based on node core can improve the cache hit ratio in caching service and shorten the average request time and cache hit distance.The cache replacement algorithm based on the content naming granularity can improve the utilization of the cache space while ensuring a higher success ratio of obtaining the content.3.This paper proposes a cache storage algorithm based on vehicle behavior characteristics and a cache replacement algorithm based on popular content prediction by studying the characteristics of mobile vehicle resource acquisition in IoV.By analyzing the behavior characteristics of vehicular privacy classification,vehicular movement similarity and vehicular interest to content,the cache storage algorithm based on vehicle behavior characteristics builds the cache probability function based on vehicle behavior characteristics based on the behavior characteristics of vehicles and realizes vehicle's probability caching of the content.In addition,according to the classification of vehicle privacy,the algorithm uses a hop-based interval caching mechanism to reduce the vehicle's caching of homogeneous content.The cache replacement algorithm based on popular content prediction forecasts the content popularity by using Linear Prediction Model,to reduce the update frequency of content popularity statistics.The simulation results show that the cache service strategy of IoV based on the behavior characteristics of vehicles can improve the cache hit ratio,and reduce the content request time,cache hit distance and cache replacement.At the same time,the cache replacement algorithm based on popular content prediction can reduce the amount of cache replacement.4.This paper studies the communication technology of V2V and V2V2I multi-node cooperative cache in IoV,and proposes a cache service strategy based on multi-node cooperation.Moreover,this paper proposes a V2V cooperative caching mechanism based on game theory,designs a credit-based incentive mechanism to compensate V2V collaboration,and constructs a game strategy based on prisoner's dilemma model and analyzes the communication compensation and communication overhead of vehicle participating in cooperative cache communication by game theory.Meanwhile,this paper proposes a cooperative caching mechanism of V2V2I based on relay vehicle selection,constructs the utility function of relay vehicle selection by analyzing link duration and bandwidth factor of relay vehicles.It also analyzes the incentive mechanism in the process of vehicle relay cooperation that is used to modify the utility value function of the relay vehicle selection as the communication cost.The simulation results show that the cache service strategy based on multi-node cooperation improves the amount of content transmission and the successful transmission ratio in cooperative cache communication,and reduces the network energy consumption of cooperative cache communication.