Design And Implementation Of Content Dissemination Mechanisms Based On The Social Relations In MSN

At present,the gradual maturity in mobile communication technology and the wide application in intelligent terminal equipment provide firm foundation for the appearance and development of Mobile Social Networks(MSN).As a new application pattern,MSN is an expansion of the real social network in the field of the wireless communication,which disseminates content and forwards data between different users according to the peoples mobility and local connectivity.Besides,users' movement has a certain regularity which is ensured by the social relationships between nodes,stable and predictable.Therefore,sufficient consideration for social relationships could improve the disseminating content performance of MSN.In this thesis,through the study of the sociality and mobility for mobile social networks,the content replication dissemination strategy based on social relations is designed.First,considering the authenticity of the simulation process for application scenario in Northeastern University,an improved students' daily activity mobility model is given to simulate users' mobile traces in the network.Secondly,according to the contact duration,contact frequency and contact interval of mobile users,a kind of friend relationship metric used to measure the closeness between nodes is proposed.SE social metric is proposed for content replicator decisions after the interest similarity and meeting probability of nodes are defined.On the basis of above researches,a social relations based content dissemination mechanism is designed considering multiple performance and objectives.The mechanism considers that all communities would not be connected,content was replicated by centralized network between disconnected communities and content was disseminated by opportunity network in the same community.In addition,in order to reduce the network overhead in the content dissemination process,which is as our main objective,two mechanisms about content replication are designed:random replication and component replication,to select the proper content replicators for content dissemination.Moreover,according to the social experience analysis,a community discovery algorithm based on the network clustering coefficient and the overlap degree of shared neighbors is presented to obtain community collections used in the content disseminating process.To further improve the routing performance,both the node buffer management mechanism and the punishment and incentive mechanism are designed.The proposed content dissemination mechanism has been simulated,and then performance comparison is fairly conducted between them and the benchmarks on several indexes in this thesis.The results show that the content dissemination mechanisms designed in this thesis have respective advantages on different performances,and both have certain advantages on the message coverage rate and network transmission costs,etc.Hence,they are feasible and effective.