Message Transmission Calculation In Vehicular Social Network

Currently,in-vehicle services are developing rapidly.Information sharing between vehicles can improve driving experience and assist in intelligent transportation in modern cities.However,the reliability of data transmission between vehicles cannot be guaranteed.False alarms or invalid information transmission may mislead users,which may even cause serious traffic accidents.The information exchange in the vehicular social network is governed by the trust between drivers.The trust needs to be continuously evaluated,and the trust-based social relationship between vehicles is of vital importance.However,the existing trust computing is mostly limited by the history of message transmission between vehicles,which is a huge amount of calculation for vehicle sensors.At the same time,issues of privacy and permissions are involved to some extent.In order to solve the above problems,this article conducts in-depth research from the following aspects.(1)In order to solve the problem that the credibility of the messages transmitted in existing vehicular social network cannot be guaranteed,the Quick Walk algorithm is designed.The algorithm can calculate the trust value between any vehicles in the network,see the necessity of calculation,and delete unnecessary updates.The Quick Walk algorithm uses a breadth-first search method to iteratively update column vectors when traversing nodes of vehicles,which forms an objective,fine-grained trust evaluation mechanism.(2)In order to solve the problem that sensors in existing vehicular social network cannot process massive trust calculation,a vehicular social network model is designed to enhance trusted information sharing between vehicles and to solve the issue of trust evaluation.The model is based on the concept of a random graph,treating all vehicles as different nodes,and adding these nodes into a real vehicular social network that can show the social relationship and behavior.In this model,the trust value between nodes is calculated by Quick Walk algorithm,the interaction mode between vehicles is changed,and the calculation scale is reduced.(3)This paper conducts experimental simulations of the Quick Walk algorithm and the vehicular social network information transmission model.First,the Quick Walk algorithm was run on a random graph and the Advogato dataset.The execution time was compared with the benchmark algorithm.At the same time,a small and complex network model is designedto calculate the operating efficiency of the Quick Walk algorithm.The results show that the Quick Walk algorithm has higher operating efficiency than the benchmark algorithm.Finally,this article builds a information transmission model that simulates trust calculation and information transmission between vehicles.Simulation results show that the model can effectively reduce the number of information in the network and greatly reduce the burden of network.