Research On Community Detection And Data Forwarding Strategies In Vehicle Social Networks

With the rapid development of artificial intelligence,internet of things and mobile internet,the influence of social behavior has gradually increased.The infiltration of social behavior in Vehicular Ad Hoc Networks(VANETs)forms Vehicular Social Networks(VSN).This thesis aims to study community detection and data forwarding strategies in the VSN.Through the feature analysis of the vehicle nodes,a community partitioning method is obtained.With the help of the infrastructure in the urban environment to forward data,the method improves the interactive ability of the user's interest content.The main work of this thesis is as follows:Firstly,due to the l imitation of geographical location or vehicle movement state,the method of community division is studied in the travel environment for users with multi-interest characteristics.Through the obtained vehicle movement trajectory and behavior law,the user's travel rules are analyzed to find the most active reference node.According to interest index of the reference node,the similarity calculation of the collected node data is used to classify the nodes,and an algorithm of Social Multi-interest Assisted Community detection in vehicular social networks(SM-AC)is proposed.The relationship between nodes is independent of their respective movement states and locations in SM-AC.By comparing other common methods,it is verified that the algorithm improves the average similarity of community nodes and increases the stability of the community.Secondly,in view of the difficulties of fast-moving nodes in transmitting and receiving data in timely and effectively and how to select forwarding nodes,an Infrastructure-Based intra-or inter-Community data Forwarding scheme(IBCF)is proposed.The infrastructure acquires data and further analyzes,and forwards the data to target node in need or broadcasts directly to all vehicles in the range.Through differential processing of message and auxiliary transmission function of the infrastructure,the social network features are fully utilized in the VANETs derivative environment,namely,actively participating,sharing information,and establishing social circles.The simulation results show that the data reception success rate and the average delay can be effectively improved in the vehicle mobile network environment by using IBCF.