Research On Mobile Vehicle Resource Scheduling Strategy Based On Consortium Blockchain

With the rapid development of the automobile industry and the Internet of vehicles,vehicles are developing towards networking,electrification and intelligence,and the types and quantity of resources owned by vehicles are becoming more and more abundant.On the one hand,a large amount of data will be generated by on-board intelligent devices and related passenger handheld devices.Vehicles can share this kind of data to the entities that need data in the Internet of vehicles.On the other hand,the vehicle itself has a certain computing power,and the vehicle with large computing load can unload the computing tasks that it cannot complete to other vehicles with redundant computing resources nearby.While reducing its own on-board computing load,the vehicle that provides computing resources can also obtain certain benefits.However,due to the lack of efficient transaction mechanism,trust mechanism and vehicle privacy protection mechanism in the current Internet of vehicles,how to urge the road vehicles to participate in the data sharing and computing task unloading in the Internet of vehicles under the consideration of vehicle interests,security and privacy is the problem that this paper needs to focus on.This paper mainly studies the data and computing resource sharing scheduling strategy of mobile vehicles in the Internet of vehicles.First of all,in order to establish the trust mechanism and protect the privacy and security of the entities in the Internet of vehicles,this paper uses the consortium blockchain to build a decentralized trading system,in order to achieve the security resource scheduling mechanism with information transparency.At the same time,entities that actively participate in resource scheduling have a certain chance to get rewards distributed by the blockchain system to encourage entities to participate in resource scheduling.Secondly,based on the consortium blockchain model,this paper uses Stackelberg game to construct the data interaction between vehicles and data demand entities,aiming at the data sharing between vehicles and data demand entities in the Internet of vehicles,so as to obtain the optimal data sharing price and meet the various data needs of entities as much as possible.Then,considering the calculation task unloading between multiple buyers and multiple sellers,this paper uses the reverse auction theory to model the interaction process,so as to quickly match the buyers and sellers and maximize the overall benefits of the scheme.Finally,a large number of targeted simulation experiments are proposed to verify the effectiveness of the proposed algorithm and strategy.