Research On User Similarity-Aware Content Sharing Optimization Mechanism In Mobile Social Networks

Different from traditional social ways,more and more social users use mobile devices to access the network through existing mobile cellular networks,Wireless Local Area Networks(WLANs),and Mobile Adhoc Networks(MANETs),etc.Besides,Bluetooth,Zigbee and other short-range communication are utilized to achieve content sharing.In the short-range communication mode,users share contents in the “store-carryforward” mode,which effectively solves the problem that there is no explicit communication path between the source user and the destination user.However,the dynamic changes of the network topology,the change of the user link status,the limited user cache space and the social attributes of users in this mode pose great challenges to the research of content sharing and cache optimization mechanism in mobile social networks(MSNs).This thesis firstly introduces the mobile social networks briefly from the research background,network structure and network characteristics.At the same time,it summarizes the existing research hotspots and expounds the main ideas of content sharing mechanism and cache optimization mechanism in the mobile social networks by the way of classification.Secondly,aiming at the problem of low success ratio and high cost of content sharing caused by the unreasonable selection of relay users,the thesis proposes a user similaritybased content sharing mechanism in mobile social networks.From the perspective of multi-dimensional attributes of users,using attribute analysis methods,multi-dimensional parameters that evaluate the similarity of user attributes are obtained,including the degree of interest coincidence,the degree of interaction,and the consistency of activity areas,so that the logical relationship between users is known,and a virtual community is established to achieve low-cost,high success ratio of content sharing.Simulation results show that the proposed content sharing mechanism not only improves the success ratio of content sharing,but also greatly reduces the network overhead ratio.Thirdly,aiming at the limited user caching resources in mobile social networks,the thesis proposes a user relationship-based cooperative caching mechanism.Based on the content sharing between users,the thesis quantifies the friendliness and trust between users,encountering probability and accurately obtaining the user content sharing service capability.At the same time,by perceiving the user caching behavior,caching quality of content can be estimated accurately and the the cooperative caching and replacement method is proposed to improve utilization efficiency of user's cache resources.Simulation results show that the proposed cooperative caching mechanism can effectively utilize the user's cache resources and greatly improve the success ratio of content sharing.Finally,summarize the research work,and put forward the follow-up research work.