Research On Application Of Optimizing Cache Management Strategy In Community Opportunity Network

The opportunity network is a kind of new self-organizing network derived from the wireless self-organizing network.Node mobile characteristics in opportunistic networks,limited node energy,and limited node space,so that there is often no complete communication link between node and node in the opportunistic network.It is possible that the communication is normal for a certain period of time.In the next moment will be broken,extremely unstable.At present,the mobile model of the nodes in the opportunity network is often random and does not take into account the community characteristics of the nodes.In practice,the nodes are not completely random motion,as the nodes with community characteristics are relatively stable at most of the time.In this paper,through the analysis of the characteristics of the community of the node,the node cache is filled with a large number of replicas in the network under the presence of some malicious nodes or flood attacks,and the nodes are designed to move with the Community Based Movement model Based on SA-Epdmeic routing cache management strategy that BA-Epdemic.The main work of this paper is as follows:1.The route of the opportunistic network is closely related to the moving characteristics of the node.In this paper,a new approach to the random waypoint is proposed,and a node mobility model with community characteristics is proposed.The model can well reflect the node motion with community characteristics,and the nodes are not all fixed in a community to move.In this paper,the model is expressed by the Markov chain,and the movement probability of the node between the community and the community.2.Based on the Community Based Training node,a new cache management strategy is introduced in the SA-Epdemic routing algorithm.For the information that has arrived at the destination node in the network,this paper uses the method of sending feedback to delete and release the cache space.For the case where the node cache overflows,this paper uses the information that has already reached the destination node in the cache,and if there is no such information,the cache information is deleted according to the backpack problem.3.In this paper,the SA-Epdemic algorithm is further improved to the BA-Epdemic algorithm.The node cache in the SA-Epdemic algorithm does not receive a copy of the message.When the node cache reaches the threshold,only the feedback information is received and no other message is received for further release intermediate node cache reduces network stress.4.The experiment shows that the node-based motion model is more in line with the real node motion.The buffer strategy BA-Epdemic designed in this paper has greatly improved the transmission success rate and transmission delay compared with Epdemic and SA-Epdemic routing algorithms.