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International Conference on Machine Learning and Intelligent Communications

MLICOM 2017: Machine Learning and Intelligent Communications pp 355–363Cite as

Routing Optimization of Small Satellite Networks Based on Multi-commodity Flow

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Abstract

As the scale of small satellite network is not large and the transmission cost is high, it is necessary to optimize the routing problem. We apply the traditional time-expanded graph to model the data acquisition of small satellite network so that we can formulate the data acquisition into a multi-commodity concurrent flow optimization problem (MCFP) aiming at maximizing the throughput. We use an approximation method to accelerate the solution for MCFP and make global optimization of routing between satellite network nodes. After the quantitative comparison between our MCFP algorithm and general augmented path maximum flow algorithm and exploring the detail of the algorithm, we verify the approximation algorithm’s reasonable selection of routing optimization in small satellite network node communication.

Y. Zhang—Foundation Item: Science and Technology on Communication Networks Laboratory Foundation Project; Aerospace Field Pre-research Foundation Project (060501).

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Authors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Xiaolin Xu, Yu Zhang & Jihua Lu

  2. The Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

    Yu Zhang

Authors
  1. Xiaolin Xu
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  2. Yu Zhang
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  3. Jihua Lu
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Corresponding author

Correspondence to Yu Zhang .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xu, X., Zhang, Y., Lu, J. (2018). Routing Optimization of Small Satellite Networks Based on Multi-commodity Flow. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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