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An Adaboost Based Link Planning Scheme in Space-Air-Ground Integrated Networks

  • Feng Wang
  • Dingde JiangEmail author
  • Sheng Qi
  • Chen Qiao
Article
  • 11 Downloads

Abstract

The Space-air-ground integrated network (SAGIN) has been a valuable architecture for communication support due to its characteristics of wide coverage and low transmission delay. Both low earth orbit (LEO) satellites and UAVs can serve as relay nodes to provide reliable communication services for ground devices. However, the design of data transmission links (DTL) in SAGIN is not easy, considering different accessing layers and resource usage of network segments. Moreover, network topology, available resources, and relative motion need to be analyzed comprehensively for the deployment of DTLs. To address these problems in a heterogeneous SAGIN network, the software defined networking (SDN) architecture is utilized to realize global knowledge acquisition. Then a traffic prediction method based on autoregressive moving average (ARMA) model is utilized to forecast the resource usage of SAGIN segments. After the analysis of link performance, the Adaboost algorithm is used to classify network nodes according to their data transmission capacity for DTL deployment. Simulation results show that the proposed Adaboost-based link planning scheme is feasible and effective.

Keywords

Space-air-ground integrated network Software defined networking Traffic prediction Adaboost model Data transmission link 

Notes

Acknowledgments

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), and the Innovation Funding (No. 2018510007000134). The authors wish to thank the reviewers for their helpful comments. Dr. Dingde Jiang is corresponding author of this paper (email: jiangdd99@sina.com).

References

  1. 1.
    Liu J, Shi Y, Fadlullah ZM et al (2018) Space-air-ground integrated network: a survey. IEEE Commun. Surv. Tutorials 20(4):2714–2741CrossRefGoogle Scholar
  2. 2.
    Cheng N, Xu W, Shi W et al (2018) Air-ground integrated mobile edge networks: architecture, challenges, and opportunities. IEEE Commun Mag 56(8):26–32CrossRefGoogle Scholar
  3. 3.
    Zhang N, Zhang S, Yang P et al (2017) Software defined space-air-ground integrated vehicular networks: challenges and solutions. IEEE Commun Mag 55(7):101–109CrossRefGoogle Scholar
  4. 4.
    Choi JP, Chang S, Chan VWS et al (2017) Cross-layer routing and scheduling for onboard processing satellites with phased array antenna. IEEE Trans Wirel Commun 16(1):180–192CrossRefGoogle Scholar
  5. 5.
    Liu Y, Xu W, Tang F, et al. (2016) An improved multi-path routing algorithm for hybrid LEO-MEO satellite networks, in Proc. ISPA'16, pp. 1101–1105Google Scholar
  6. 6.
    Zhang Z, Jiang C, Guo S et al (2018) Temporal centrality-balanced traffic management for space satellite networks. IEEE Trans Veh Technol 67(5):4427–4439CrossRefGoogle Scholar
  7. 7.
    Araniti G, Bisio I, De M (2016) Sanctis, et al. multimedia content delivery for emerging 5G-satellite networks. IEEE Trans Broadcast 62(1):10–23CrossRefGoogle Scholar
  8. 8.
    Huang Z, Zhang Q, Xin X, et al. (2017) DTN routing algorithm based on service probability and limited copy for satellite networks, in Proc. ICOCN'17, pp. 1–3Google Scholar
  9. 9.
    Qu Z, Zhang G, Cao H et al (2017) LEO satellite constellation for internet of things. IEEE Access 5:18391–18401CrossRefGoogle Scholar
  10. 10.
    Sheng M, Wang Y, Li J et al (2017) Toward a flexible and reconfigurable broadband satellite network: resource management architecture and strategies. IEEE Wirel Commun 24(4):127–133CrossRefGoogle Scholar
  11. 11.
    Han Y, Li D, Guo Q (2016) Self-similar traffic prediction scheme based on wavelet transform for satellite internet services, in Proc. MLICOM'16, pp. 189–197,Google Scholar
  12. 12.
    Shi C, Shi C, Yuan P, et al. (2018) A space-time graph based minimum cost routing algorithm for the random traffic in the satellite network, in Proc. WCSP'18, pp. 1–6Google Scholar
  13. 13.
    Zhou D, Sheng M, Wang X et al (2017) Mission aware contact plan design in resource-limited small satellite networks. IEEE Trans Commun 65(6):2451–2466CrossRefGoogle Scholar
  14. 14.
    Wang Y, Sheng M, Li J et al (2016) Dynamic contact plan design in broadband satellite networks with varying contact capacity. IEEE Commun Lett 20(12):2410–2413CrossRefGoogle Scholar
  15. 15.
    Li T, Zhou H, Luo H et al (2018) SERvICE: a software defined framework for integrated space-terrestrial satellite communication. IEEE Trans Mob Comput 17(3):703–716CrossRefGoogle Scholar
  16. 16.
    Zhang L, Wang X, Huang M, et al. (2017) A routing scheme for software-defined satellite network, in Proc. ISPA'17, pp. 24–31Google Scholar
  17. 17.
    Jia M, Zhu S, Wang L et al (2018) Routing algorithm with virtual topology toward to huge numbers of LEO mobile satellite network based on SDN. Mobile Netw Appl 23(2):285–300CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2020

Authors and Affiliations

  1. 1.School of Astronautics and AeronauticUniversity of Electronic Science and Technology of ChinaChengduChina

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