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A Routing Acceleration Strategy via Named Data Networking in Space-Terrestrial Integrated Networks

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 873))

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Abstract

Content producer mobility support is remaining a challenging problem. In this paper, we consider it in a Future Space-Terrestrial Integrated Networks (FSTINs) scenario without handover management infrastructure. Specifically, we propose a routing acceleration strategy via Named Data Networking (NDN) in Space-Terrestrial Integrated Networks, as well as the acceleration algorithm. Performance evaluation results demonstrate that the proposed strategy can obtain the acceleration ratios from 4.8% to 9.4% at different nodes, and the average acceleration ratio is 7%.

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Acknowledgment

This work was supported by the University research projects of the education department of Guangxi, China (YB2014330).

Author information

Authors and Affiliations

  1. School of Physics and Mechanical and Electrical Engineering, Hechi University, Yizhou, Guangxi, China

    Feng Yang

  2. Computer School, Wuhan University, Wuhan, Hubei, China

    Di Liu

Authors
  1. Feng Yang
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  2. Di Liu
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Corresponding author

Correspondence to Feng Yang .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

    Wei Li

  3. Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

    Zhangxing Chen

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Yang, F., Liu, D. (2018). A Routing Acceleration Strategy via Named Data Networking in Space-Terrestrial Integrated Networks. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-13-1648-7_31

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  • DOI: https://doi.org/10.1007/978-981-13-1648-7_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1647-0

  • Online ISBN: 978-981-13-1648-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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