Research On The Vehicle And The Networks Selection In Vanets

As the development of the Internet industry matures,people become more and more dependent on the network,and the demand for using the network on the vehicle is also growing.Vehicular Ad Hoc Network will provide convenience for the driver and provide the possibility for the development of intelligent transportation in the future.Vehicle cooperative downloading makes it easier for drivers to obtain information,including real-time road conditions,music,video,etc.In view of increasing transmission rate and reducing downloading costs,vehicle cooperative downloading technology has emerged.How to choose the best service vehicle in the vehicle cooperation download process,what kind of network selection strategy is used directly affects the quality of vehicle cooperation download.Therefore,based on the problem of service vehicle selection,this paper proposed a vehicle selection strategy based on fuzzy mathematics,which improved the efficiency of vehicle selection and the quality of service vehicles.For the problem of network selection,a network selection strategy was proposed based on repeated games.It reduced the overhead of network downloading and promoted the service vehicle to actively complete the cooperative download task.The main contents are as follows.Firstly,considering the objective factors of vehicles and the criteria of the client vehicle selection partner,a cooperative vehicle selection scheme based on fuzzy comprehensive evaluation was proposed.In this scheme,the objective factors of the vehicle were first graded,and the objective score of the vehicle were calculated based on the proposed fuzzy comprehensive evaluation algorithm.Then,according to the criteria of the client vehicle selection partner,the satisfaction score was calculated for the vehicle based on the proposed satisfaction evaluation formula.Finally,the proposed optimization model was used to comprehensively consider the objective score and satisfaction score of vehicles,and the service-side vehicle was allocated to the client vehicle on demand.The main goal of the program is to optimize the comprehensive score of the service-side vehicles and to design an optimal service-side vehicle allocation scheme for the client vehicles on the road.Secondly,aimed at the problem of network selection of service-side vehicles in the download process,a game network selection scheme based on time segment was proposed.In this program,first of all,combined with the idea of repeated game,a reward and punishment strategy was proposed to encourage the server to actively assist in downloading.Then,based on the selection strategy of the client vehicle and the service-side vehicle,the Nash equilibrium was constructed to obtain the basic conditions for the incentive effective and effective incentive.Finally,the basic conditions of the effective and effective incentives and the download network selection algorithm based on time segments were used to formulate a network selection scheme for the server.The program aimed to encourage service-side vehicles to actively assist in downloading and minimize the cost of service-side vehicles,achieving mutual benefit and win-win for both parties.Finally,the vehicle selection scheme based on fuzzy comprehensive evaluation and the game network selection scheme based on time segment were simulated,and the experimental data are compared,verified and analyzed,which proved the effectiveness of the proposed scheme.