Research On Channel Congestion Control Strategy In V2V Communication Of Vehicular Networking

Vehicular Networking Technology is one of the most important research directions in the current automobile industry.It is the only way for traditional automobile industry to move towards intelligence and networking,solve existing road safety and traffic congestion problems,and build intelligent traffic systems(ITS).Vehicle-to-vehicle communication realizes real-time interaction of information between vehicles and is the basis of Internet of Vehicles security applications.Designing a low transmission delay,high coverage,and efficient and rapid distribution of safety information V2 V communication network has a very important meaning.This article takes the design of the V2 V communication information delivery method in line with the Internet of Vehicles security application as the starting point,and aims at maximizing the efficiency of the security information delivery.Firstly,the implementation method of V2 V communication simulation for Internet of Vehicles is explained,the protocol structure of WAVE(Wireless Access in Vehicular Environment)is analyzed,and then a vehicle-to-vehicle mobility simulation platform is built by network simulation software NS-3(Network Simulator 3)and traffic simulation software SUMO(Simulation of Urban Mobility).The modular script design meets the requirements of various scenarios simulation,supports IEEE 802.11 p / WAVE protocol,supports multiple node movement methods,can realize the real-time change of vehicle density and distributed control of transmission power during the simulation process,and moves the nodes through visual tools Visualize data transmission.The built simulation platform provides simulation verification tools for channel congestion control research.Secondly,it analyzes the V2 V communication scenario of highway car networking,based on the simplified one-dimensional one-way road model to study the distribution of vehicles on the road,and derives the poisson distribution model of vehicles.The relationship between vehicle density and traffic flow is expounded,and the vehicle density prediction method based on traffic flow conservation model and traffic flow vehicle following model is analyzed.According to the characteristics of Internet of Vehicles,vehicle density prediction methods based on roadside units and safety information are designed to provide vehicle density information at the next moment for congestion control strategies.After that,the Markov chain model under the IEEE 802.11 p channel back-off mechanism was solved,combined with the Poisson distribution of the vehicle,the probability model of successful packet reception in V2 V communication was deduced,the hidden terminal problem was considered,the model was revised,and further deduced The Information Delivery Rate(IDR)model,which is used to characterize the efficiency of information delivery,designed a distributed adaptive channel congestion control strategy with the vehicle density as the input at the next moment and the goal of maximizing the information delivery rate.Finally,the actual scene test and simulation verify the applicability of the simulation platform,the correctness of the model and the effectiveness of the designed congestion control strategy.