Research On Data Distribution Algorithm Based On Self-awareness Nodes In Opportunistic Network

As a new self-organizing network,the opportunistc network has caused widespread concern in academic circles.Mobile opportunistic networks make full use of the nodes in the network caused by the opportunity to realize the data communication.The main objective of the research is to solve the opportunity to network in the actual environment,wireless data communication network due to its frequent between the nodes in network reliability problem of discontinuity.In most cases,end to end connection does not exist in the opportunistic networks,wireless ad hoc network routing protocols in general can not be applied to the opportunity to network.Therefore,the problem distribution in opportunistic network data is a key problem research.Aiming at the shortcomings of SAW algorithm,proposed a distributed algorithm SCSF node independent cognitivebased data,the main contributions of this paper are summarized as follows:(1)Aiming at the current location prediction algorithm which requires nodes instantaneous speed attributes such as the predictive result is not reliable,this thesis combines the characteristics of network nodes move opportunity in actual environment to put forward a new kind of node position information of the mobile interpolation prediction algorithm,the algorithm uses the historical location information of nodes,the Lagrange polynomial interpolation algorithm effectively improves the prediction accuracy of the location information.(2)The thesis proposes a node independent cognitive data distribution algorithm,which is based on the two fork tree distribution message copy number.By combining mobile location information the proposed prediction algorithm,the proposed algorithm effectively improves the data transmission performance in opportunistic networks,and effectively control the network overhead.(3)Moreover,the thesis implementes the proposed algorithm simulation with ONE simulation tool.The network performance under different cache size and different message size were studied in two different experiments,the experimental results show that the node self cognition based data distribution algorithm can effectively reduce the search complexity of mobile the position information in the real network,and have shown better performance in the message delivery probability and message delivery delay.