Cold-start And Efficient Message Diffusion Mechanism Of Collaborative Learning Community Based On Opportunistic Network

Opportunistic network is a kind of mobile self-organized network,which has the characteristics of time delay and intermittent tolerance.Its communication link is usually not a complete end-to-end path.In the case of collaborative learning on campus based on opportunistic network,In the context of collaborative learning interaction,the nodes in the mobile opportunistic network form a basic community with cooperative groups as the unit.The research work on this paper is as follows:1.This paper studies the differences between the opportunistic network in the campus collaborative learning scenario and the common application scenario,the feasibility and application advantages of the opportunistic network in the campus collaborative learning scenario,and defines the routing characteristics in this scenario.2.To solve the problem of how to spread learning resources efficiently in the context of collaborative learning on campus,this paper proposes a routing method with cooperative groups as communication units.According to the characteristics of the strong regularity of node movement in the campus scenario,this route makes statistics on the contact characteristics between groups and forecasts the subsequent contact conditions.Combined with the idea that node influence and weak connection are conducive to information diffusion to selects the best node to be transmitted.The experimental results show that this routing method can greatly improve the speed of message diffusion,and avoid unnecessary message redundancy and waste of contact opportunities.3.Because the mainstream cold start seheme in social network mainly solves the problems of information overload,recommendation accuracy and recommendation efficiency,which are quite different from the problem of information transmission delay caused by insufficient contact of nodes in opportunistic network,this paper defines and divides the stage of cold start in mobile social network On this basis,it provides solutions for the file transfer strategy in the cold start phase and the community running phase of the node.4.In the campus collaborative learning environment,learner nodes often have a lack of awareness of their own needs of learning resources and lack of search ability for learning resources,in order to solve the above problems,This article is based on that the high degree of activity nodes can often be contact to more information,the higher intimacy between nodes means that the nodes are more familiar and higher transmission success rate characteristics,a learning resource recommendation mechanism based on node activity and social intimacy is proposed,and the algorithm has been tested and verified to have high accuracy for the recommendation mechanism based on message attributes.