Research on Disaster Emergency and Data Recovery with Wireless and Satellite Networks

  • Chunfeng Wang
  • Shuai Yun
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)


With the continuous development of the Internet, the scale of the data center is larger and larger, how to quickly carry out the data recovery and provide services has become a hot research topic in the disaster area. Wireless network communication system with flexible deployment characteristics and LEO satellite networks with covering a wide range are vital for disaster emergency operation and disaster recovery. In this paper, wireless networks and LEO satellite networks integrated regional disaster emergency communications and data recovery system are proposed. We design system architecture of the network and put forward a distributed data storage based on network coding. The network coding method for the distributed data storage and the data recovery principle is described in detail. The effect of network connectivity and the bandwidth demand based on network coding method is analyzed and the conclusion about network k-connectivity and data recovery for MDS (n, k). Finally the simulation analysis is done.


Satellite network Wireless self-organizing network  Data recovery 


  1. 1.
    Iapichino, G., Bonnet, C., Baudoin, C., Buret, I.: A mobile ad hoc satellite and wireless mesh networking approach for public safety communications. In: 10th International Workshop on Signal Processing for Space Communications, 24 November 2008, pp. 1–6 (2008)Google Scholar
  2. 2.
    Chen, C.-M., Macwan, A., Rupe, J.: Network disaster recovery. IEEE Commun. Mag. 49(1), 26–27 (2010)Google Scholar
  3. 3.
    Casoni, M., Grazia, C.A., Klapez, M., Patriciello, N., Amditis, A., Sdongos, E.: Integration of satellite and LTE for disaster recovery. IEEE Commun. Mag. 53(3), 47–53 (2015)Google Scholar
  4. 4.
    Lee, Y.M., Ku, B.J., Ahn, D.S.: A satellite core network system for emergency management and disaster recovery. In: ICTC2010, Jeju, 17–19 November 2010, pp. 1–4 (2010)Google Scholar
  5. 5.
    Dimakis, A.G., Godfrey, P.B., Wu, Y., Wainwright, M.J., Ramchandran, K.: Network coding for distributed storage systems. IEEE Trans. Inf. Theory 56(9), 4539–4551 (2010)Google Scholar
  6. 6.
    Alcatel-Lucent: The LTE Network Architecture, White Paper (2009).
  7. 7.
    Santi, P.: Topoloy Control in Wireless Ad hoc and Sensor Network. Wiley, Hoboken (2005)Google Scholar
  8. 8.
    Rashmi, K., Shah, N.B., Ramchandran, K.: A piggybacking design framework for read-and download-efficient distributed storage codes. In: Proceeding of IEEE International Symposium on Information Theory, pp. 331–335 (2013)Google Scholar
  9. 9.
    Yuan, S., Huang, Q.: Generalized Piggybacking Codes for Distributed Storage Systems. Globlecom (2016). To be publishedGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Qian Xuesen Laboratory of Space TechnologyChina Academy of Space TechnologyBeijingChina

Personalised recommendations