Research Of Opportunistic Content Forwording Strategy Based On Dynamic Data Analysis

The Opportunistic Networks is a new model of network architecture, which is different from the tradition. It completes data forwarding with "Store-Carry-Forward" work mode, using the communication opportunities brought by node mobility. However, since the network topology changes quickly, the Opportunistic Networks has some issues such as large delay of message transmission and low delivery rate. These issues affect the user experience, limiting the opportunities for further development of network applications. With the improvement of application scenarios and network infrastructure changes, in order to improve the efficiency of content delivery, Opportunistic Networks scenarios added base stations, hotspots, and server entity.In recent years, with the popularity of smart handheld devices, the research of Opportunistic Networks turned to the combination of social network theory research of handheld device networking, data transfer and large data streaming, mixed applications combined with centralized network and so on. In this paper, the scene is based on school smart mobile device networking application, presenting a central server content forwarding model, using the global information of central server to design content forwarding strategies to achieve improved the efficiency. The thesis mainly works are as follows:Design a content forwading model with central server, which is based on direct connection between devices, using a three-layer structure with central server, cellular network and Opportunistic Networks. Central server works for data analysis and forwarding control, and the important control information which is small amounts of data transferred over the cellular network, Opportunistic Networks responsible for implementing the content forwarding which is large amounts of data.The data used to analysis is from the real network data of SEU. According to the assumption that nodes’mobility is the reflection of human mobility and human activities are periodictable and sociable, selecting strong connectivity and highly active node for each physical location as an adjunct forwarding node that position through statistical analysis of historical data. Experimental results show that the effective use of auxiliary forwarding nodes can ensure the rapid dissemination of the process while reducing the spread of blindness, thus improving the efficiency of content forwading.For the auxiliary forwarding nodes’s numbers and storage capacity limits, strengthen the restrictions of auxiliary node selection by using the target node and a auxiliary node position overlap, while adding forwarded termination mechanism, when the target node receives content, other nodes which have this content informed promptly and remove the contents while interacting with the server to achieve remission storage purposes. Do Simulation experiment by the simulation platform:The ONE. The results of experiments show that the optimized content forwarding strategy has a better performance in large -node storage pressure.