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A Space-Air-Ground Integrated Networking Method for Air Mobile Targets

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Abstract

With the development of communication technology, the integration of space and space information network has become a research hotspot. This network can be used for data transmission and sharing on the ground, in the air and in outer space, which can greatly enhance the coverage and speed of the network. However, the air space integration information network is composed of a large number of mobile nodes, which makes it highly dynamic. Based on the time-varying graph, this paper proposes a dynamic networking method to connect the aircraft in the atmosphere to the space-based satellite network, which transforms the problem into the shortest path solution at a certain time and avoids a lot of calculation. At the same time, according to the established scene, the joint simulation platform is built. And the simulation architecture with MATLAB as the core and STK and NS-3 as the auxiliary is completed. On this platform, the simulation test of air space integration information network can be carried out. Through the test of the algorithm on the built simulation platform, the results show that this networking method has good performance in the dynamic network networking.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (No. 61571104), the Sichuan Science and Technology Program (No. 2018JY0539), the Key projects of the Sichuan Provincial Education Department (No. 18ZA0219), the Fundamental Research Funds for the Central Universities (No. ZYGX2017KYQD170), the CERNET Innovation Project (No. NGII20190111), the Fund Project (Nos. 61403110405, 315075802), and the Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments.

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Correspondence to Dingde Jiang .

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Wang, Y., Wang, L., Zhang, W., Jiang, D. (2021). A Space-Air-Ground Integrated Networking Method for Air Mobile Targets. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-030-72792-5_11

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  • DOI: https://doi.org/10.1007/978-3-030-72792-5_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72791-8

  • Online ISBN: 978-3-030-72792-5

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