Skip to main content

Advertisement

Log in

Energy-efficiently collaborative data downloading in optical satellite networks

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Optical satellite networks (OSNs) play an important role in space applications since it has some merits such as high data rate and low power. Increasing space applications generate a large amount of data on satellite so that satellites have difficulty in downloading these data to ground station timely under the limited contact window. Thus, we investigate the problem of collaborative data downloading in this paper. The problem lies on how to energy-efficiently offload data by optical inter-satellite links (ISLs) to balance data load and downlink capacity of each satellite so as to improve the performance of data downloading in OSN. Firstly, we develop the Cost Time-evolving Graph (CTEG) to describe optical transmission cost and the time-varying topology of OSN. Secondly, the problem of collaborative data downloading is formulated as Multi-objective Mixed-integer Linear Programming (MOMILP) which is proven to be NP-hard. For reducing computational complexity, we divide the scheduling time into multiple stages and propose the Multi-stage Collaborative Scheduling Algorithm (MCSA) which operates on a slot-by-slot basis. Simulations are conducted in the joint platform and results demonstrate that, compared with CoDld and No-ISLs, the MCSA provides a relatively high data throughput meanwhile drastically reducing energy consumption generated by data offloading.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Kaushal, H., & Kaddoum, G. (2017). Optical communication in space: challenges and mitigation techniques. IEEE Communications Surveys and Tutorials, 19(1), 57–96. https://doi.org/10.1109/comst.2016.2603518.

    Article  Google Scholar 

  2. Jia, M., Gu, X., Guo, Q., Xiang, W., & Zhang, N. (2016). Broadband hybrid satellite-terrestrial communication systems based on cognitive radio toward 5G. IEEE Wireless Communications, 23(6), 96–106. https://doi.org/10.1109/MWC.2016.1500108WC.

    Article  Google Scholar 

  3. Jia, M., Gao, Z., Guo, Q., Lin, Y., & Gu, X. (2019). Sparse feature learning for correlation filter tracking toward 5G-enabled tactile internet. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2019.2906087.

    Google Scholar 

  4. Lu, Y., Zhao, Y., & Sun, F. (2013). Dynamic fault-tolerant routing based on FSA for LEO satellite networks. IEEE Transactions on Computers, 62(10), 1945–1957.

    Article  MathSciNet  MATH  Google Scholar 

  5. Du, J., Jiang, C., Qian, Y., Han, Z., & Ren, Y. (2016). Resource allocation with video traffic prediction in cloud-based space systems. IEEE Transactions on Multimedia, 18(5), 820–830.

    Article  Google Scholar 

  6. Jia, M., Yin, Z., Li, D., Guo, Q., & Gu, X. (2019). Toward improved offloading efficiency of data transmission in the IoT-cloud by leveraging secure truncating OFDM. IEEE Internet of Things Journal, 6(3), 4252–4261. https://doi.org/10.1109/JIOT.2018.2875743.

    Article  Google Scholar 

  7. Gooley, T., Borsi, J., & Moore, J. (1996). Automating air force satellite control network (AFSCN) scheduling. Mathematical and Computer Modelling, 24(2), 91–101.

    Article  MATH  Google Scholar 

  8. Barbulescu, L., Watson, J. P., Whitley, L. D., et al. (2004). Scheduling space–ground communications for the air force satellite control. Journal of Scheduling, 7(1), 7–34.

    Article  MATH  Google Scholar 

  9. Jia, M., Yin, Z., Guo, Q., Liu, G., & Gu, X. (2018). Downlink design for spectrum efficient IoT network. IEEE Internet of Things Journal, 5(5), 3397–3404. https://doi.org/10.1109/JIOT.2017.2734815.

    Article  Google Scholar 

  10. Spangelo, S., Cutler, J., Gilson, K., & Cohn, A. (2015). Optimization-based scheduling for the single-satellite, multi-ground station communication problem. Computer and Operations Research, 57, 1–16.

    Article  MathSciNet  MATH  Google Scholar 

  11. Wang, Y., Sheng, M., Zhuang, W., Zhang, S., Zhang, N., Liu, R., et al. (2018). Multi-resource coordinate scheduling for earth observation in space information networks. IEEE Journal on Selected Areas in Communications, 36(2), 268–279. https://doi.org/10.1109/jsac.2018.2804045.

    Article  Google Scholar 

  12. Jia, X., Lv, T., He, F., & Huang, H. (2017). Collaborative data downloading by using-satellite links in LEO satellite networks. IEEE Transactions on Wireless Communications, 16(3), 1523–1532.

    Article  Google Scholar 

  13. Qinglong, Y. (2010). Research on the characteristics of space-based wavelength-routed optical satellite constellation networks. Harbin: Harbin Institute of Technology.

    Google Scholar 

  14. Heine, F., Kämpfner, H., Czichy, R., Meyer, R., Lutzer, M. (2010). Optical inter-satellite communication operational. In 2010—MILCOM, 2010 Military communications Conference (pp. 1583–1587). https://doi.org/10.1109/milcom.2010.5680175.

  15. Majumdar, A. K. (2005). Free-space laser communication performance in the atmospheric channel. Journal of Optical and Fiber Communications Reports, 2(4), 345–396. https://doi.org/10.1007/s10297-005-0054-0.

    Article  Google Scholar 

  16. Vassilev, V., & Narula, S. C. (1993). A reference direction algorithm for solving multiple objective integer linear programming problems. Journal of the Operational Research Society, 44(12), 1201–1209. https://doi.org/10.1057/jors.1993.199.

    Article  MATH  Google Scholar 

  17. Mu, A.-Q., Cao, D.-X., & Wang, X.-H. (2009). A modified particle swarm optimization algorithm. Natural Science. https://doi.org/10.4236/ns.2009.12019.

    Google Scholar 

  18. Pfennigbauer, M., & Leeb, W. R. (2003). Free-space optical quantum key distribution using intersatellite links. In Paper presented at the CNES—intersatellite link workshop, Toulouse, France.

  19. Wree, C., Collier, C. P., & Turney, A. et al. (2008). Ten Gb/s optically pre-amplified RZ-DPSK for FSO communications systems with very large link losses. In Proceedings of SPIEthe international society for optical engineering (Vol. 7091).

  20. Mela, K., Koski, J., Silvennoinen, R. (2007). Algorithm for generating the pareto optimal set of multiobjective nonlinear mixed-integer optimization problems. In Paper presented at the Aiaa/asme/asce/ahs/asc structures, structural dynamics, and materials Conference.

Download references

Acknowledgement

This paper is supported by program ‘National Key R&D Program of China’ (2016YFB0502402)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xianfeng Liu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, X., Chen, X., Zhao, K. et al. Energy-efficiently collaborative data downloading in optical satellite networks. Wireless Netw (2019). https://doi.org/10.1007/s11276-019-02120-5

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s11276-019-02120-5

Keywords

Navigation