Simulation and Analysis of Heterogeneous Traffic of Space-Ground Integrated Information Network Based on OPNET

The space-ground integrated information network is a typical complex heterogeneous network. The distribution of the traditional single network or specific network traffic model is closely related to the characteristics of the network. It lacks of description of traffic space characteristics and it is difficult to describe the space-ground integrated information network with traffic large time-space span and multilayer network services and multi-hop coordination. This paper proposes a multilayer network traffic model based on time-space correlation and Markov transfer, constructs user groups for users related to traffic time and space, and combines the user's geographic changes to further optimizes the Markov-based multi-network arrival multilayer traffic model combined, and realizes example description of traffic characteristics under multiple networks such as satellites, unmanned aerial vehicle, and ground networks. In addition, this paper evaluates the model from both self-similarity and accuracy. The simulation results in OPNET show that the self-similarity error is 1.23%, the performance is improved by 12%, and the probability distribution error remains within 5%.