Research On Collaborative Communication Methods For Vehicle Ad Hoc Networks

With the rapid development of the Internet of Vehicles,due to the limited storage space of vehicles and the increasing data demand,this makes vehicles need to cooperate more and more between vehicles.At this time,the vehicular ad-hoc network(VANET)is required for vehicle-to-vehicle communication cooperation,and link breakage often occurs due to the rapid movement of the vehicle and the uncertainty of the vehicle communication quality,which greatly affects the communication quality.Aiming at the problems faced by content distribution in vehicle ad hoc networks,this thesis proposes effective vehicle-to-vehicle data transmission methods for two different scenarios.This thesis content and innovation points of this paper are as follows.(1)Aiming at the data that can be obtained between vehicles,a vehicle cooperative communication method based on fuzzy logic and signal game strategy is proposed.The more real vehicle position and speed information is obtained through Kalman filtering,and then relay nodes are selected through fuzzy logic to assist in the distribution of request information message.Each time the vehicle receives the request,it returns the first data information through the signal game.If not all the information requests are received for the first time,the information requesting vehicle will send the second information request according to the signal strength and the belief observed from the previous vehicle.The experimental results show that this method can realize the vehicle cooperative communication function,solve the problems of low VANET link stability and broadcast storm,and has a good supporting role in establishing the practical vehicle cooperation in VANET.(2)A data communication method based on interval type two fuzzy logic and cooperative game is proposed for the data that cannot be obtained between vehicles.The interval type II fuzzy logic is used to select the backbone node.First,the vehicle stability is obtained through a fuzzy inference,and then the selection priority of the backbone node is obtained through a fuzzy inference again.After that,the backbone node vehicle chooses to retain the previously forwarded data packets according to the memory and forgetting in the gating cycle unit,and as time goes on,the backbone node may become a data storage node for auxiliary data unloading.In the R2 V communication phase,we select the corresponding backbone node for communication according to the utility function.Later,in the V2 V communication stage,we use cooperative game to describe vehicle behavior,and promote backbone nodes to connect to the grid based on the benefit function to serve other vehicles with data needs.