Research Of A Commercial Advertisement Forwarding Model In Vehicle Social Network

Vehicular Social Networks(VSNs)as a special class of Vehicular Ad-Hoc Network(VANETs)which utilizes V2V(Vehicle-to-Vehicle)and V2I(Vehicle-to-Infrastructure)to enlarge the communication range and enhance the perception of surrounding environment through intentionally exploition individuals' social interaction.As an important component of the future intelligent transportation system,it arouse the academic and industrial of the wide attention.Recently,with a variety of VSNs' applications emerging,a new application comes into people's lives-commercial advertising in VSNs.In VSNs,when a vehicle passes through a merchant,the merchant broadcasts the service information to it by means of the RSUs(Roadside Units)placed on the road.Then,during the car's journey,it can disseminate the received message to other proper cars through V2 V to continue this advertising.However,such a commercial advertisement forwarding paradigm has many challenges in its actual operation including privacy concern,incentive,and broadcast storm.The contributions of this thesis are threefold:1.Commercial advertisement forwarding involves the participation of users,so will inevitably threaten user's privacy.To solve this issue,this thesis designs an advertisement forwarding chain to protect user privacy information through utilizing public key infrastructure(PKI).The forwarding chain can record the user's participation and encrypt itself through the authoritative public key at the same time.The theoretical analysis shows that the privacy protection chain can resist the attacks such as privacy,frame-up and collusion and the simulation results show that the performance of the privacy chain exceeds the SSD(Signature-Seeking Drive)algorithm.2.Commercial advertisement forwarding requires the user's participation,and if users can't benefit from the forwarding process they will be reluctant to proceed with forwarding,so-called user selfish behavior.In view of the problem of user selfish behavior,this thesis presents an EnhancedTopology Dependent Reward Mechanisms(E-TDRM)to reward users who participate in advertisement forwarding.Theoretical analysis shows that the E-TDRM algorithm not only can meet the budget requirement of the advertiser but also resist multi-identity attack.The simulation results show that the E-TDRM algorithm is more effective than the FRAME algorithm on the user's average reward and the attractiveness of the user excellent performance.3.Commercial advertisement forwarding produces the serious broadcast storm problem in the case bad communication environment or high of vehicle density.In view of the problem of the broadcast storm,this thesis proposes an adaptive commercial advertisement forwarding algorithm.It classifies ads into multiple priority levels according to the reward provided by advertisers,calculates the vehicle density by number of received beacons in a fixed time,and then control and forward the advertising services according to vehicle density and the service level.The simulation results show that the proposed adaptive scheme can solve the broadcast storm to some degree and promote the forwarding of commercial advertisements.