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An Effective Topology Design Based on LEO/GEO Satellite Networks

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 803))

Abstract

The time-varying topology brings great challenge to the design of the satellite network routing. The key to designing high performance routing is how to handle the time-varying topology. Considering comprehensive advantages of both LEO and GEO satellite networks, a novel double-layered satellite network suitable for space networking is established in this paper. In this model, the ideas of virtual node strategy and satellite grouping are adopted, and the coverage of each LEO satellite is regarded as a virtual node of the network. Different from previous work, the influence of the polar boundary on the division of the satellite footprint is taken into account, such that the upper management satellites are able to accurately acquire the topology of the lower satellites. Using the improved virtual node strategy, the time slices in the network has significant changes, which are better than those in other models in terms of quantity, length and other aspects. The fact is verified by simulation.

This work is supported by the National Natural Science Foundation of China (Grants No. 61572435, 61472305, 61473222); the Natural Science Foundation of Shaanxi Province (Grants No. 2015JZ002, 2015JM6311); the Natural Science Foundation of Zhejiang; Province (No. LZ16F020001); Programs Supported by Ningbo Natural Science Foundation (Grant No. 2016A610035); Aerospace T.T. &.C. Innovation Program (KJCK1608).

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Correspondence to Jiulong Ma .

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Ma, J., Qi, X., Liu, L. (2018). An Effective Topology Design Based on LEO/GEO Satellite Networks. In: Yu, Q. (eds) Space Information Networks. SINC 2017. Communications in Computer and Information Science, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-10-7877-4_3

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  • DOI: https://doi.org/10.1007/978-981-10-7877-4_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7876-7

  • Online ISBN: 978-981-10-7877-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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