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A Routing Strategy for GEO/LEO Satellite Network Based on Dynamic Delay Prediction and Link Control

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Communications and Networking (ChinaCom 2022)

Abstract

As an important part of modern communication, the satellite communication is attracting more and more attention. In recent years, the low earth orbit (LEO) satellite constellations are being developed vigorously. To achieve better performance and flexibility, many researchers have proposed to combine the LEO and geostationary earth orbit (GEO) satellites to construct a double-layer network. However, this double-layer structure brings significant challenges to the design of routing strategy. In this paper, we propose a routing strategy for GEO/LEO satellite network based on dynamic delay prediction and link control. In particular, we craft a link cost function that comprehensively considers the link load, queuing delay, processing delay and transmission delay. The cost function can provide more accurate estimation of the link delay compared with the existing methods roughly using hop counts. Based on it, the proposed double-layer strategy can not only optimize the end-to-end delay but also achieve better traffic balance. Simulations on STK and OPNET verify that the proposed approach can greatly improve the performance of packet loss rate, end-to-end delay and throughput.

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Acknowledgment

This research is supported in part by the State’s Key Project of Research and Development Plan under Grants (2019YFE0196400), and in part by the Shenzhen Natural Science Foundation under Grant JCYJ20200109143016563.

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Correspondence to Xiang Chen .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zheng, X. et al. (2023). A Routing Strategy for GEO/LEO Satellite Network Based on Dynamic Delay Prediction and Link Control. In: Gao, F., Wu, J., Li, Y., Gao, H. (eds) Communications and Networking. ChinaCom 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-34790-0_1

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  • DOI: https://doi.org/10.1007/978-3-031-34790-0_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34789-4

  • Online ISBN: 978-3-031-34790-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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