Research On An SDN Based Intellectual Routing Algorithm And The Application In The Service Information Of Vehicular Network

With the development of the vehicular network,Bus Net based service is of great interest to both bus companies and public users.How to provide service and ensure service quality is considered as key points for the promotion of such kinds of applications.In this thesis,a system architecture designed based on a software-defined network(SDN)is proposed.In addition,due to the dynamic characteristics of the Internet of Vehicles,routing problems are often the key to enhance the quality of service.Aiming at the routing problem,this thesis proposes a new intelligent routing optimization algorithm,chaotic-based serial particle swarm optimization algorithm(CSPSO),while a dynamic weight matrix is used to improve routing performance.At the same time,considering the relatively high cost of experimental verification of the above-mentioned theories and algorithms in a real environment,this thesis finally conducted an experimental simulation through the NS-3 network simulation platform.The comprehensive simulation results demonstrate that the proposed method can well adapt to the dynamic change of network topology,and improve communication performance significantly.The main research works of this thesis are as follows:Initially,according to the request-response communication scenario of resource service information in the vehicle self-organizing network,a software-defined Bus Net architecture,which includes 4-layers,is proposed while corresponding dataflow is defined.Secondly,according to the proposed software-defined Bus Net architecture,a roadside unit-oriented data fusion strategy is proposed to improve bandwidth utilization and reduce algorithm’s time cost.Thirdly,to solve the routing problem caused by highly dynamic topology,a chaotic-based serial particle swarm optimization algorithm is proposed to optimize route searching progress.Finally,the NS-3 platform is used to investigate performance of proposed methods.Then the simulation results show that the proposed method could improve overall communication efficiency and quality of service.