IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v215y2021ics0951832021003690.html
   My bibliography  Save this article

Resilient communication model for satellite networks using clustering technique

Author

Listed:
  • Geng, Sunyue
  • Liu, Sifeng
  • Fang, Zhigeng

Abstract

Satellite networks are regarded as significant communication infrastructures to provide high-quality services. With global coverage and flexible deployment, they are able to transfer data swiftly and reliably over long distances. Smooth communication in case of attacks and damage has been paid more attention in recent years. However, little research has addressed resilient schemes for satellite networks so far. To that end, a resilient communication model applicable to satellite networks is put forward. A cluster architecture is constructed with the goal of stable management, data fusion and fault tolerance. In a cluster, there are three types of satellites, clusterhead, core member and ordinary member. The clusterhead is selected depending on the residual energy and the reliability importance of satellites. Moreover, network resilience is comprehensively evaluated in terms of reliability, availability and quality of service (QoS). On that basis, a cluster-based routing protocol with handshake is proposed for maximizing network resilience within basic constraints. Using dynamic programming and deep reinforcement learning method, the routing protocol not only reduces the computation load but also processes data efficiently. Finally, the simulation results demonstrate that the satellite network with the proposed model achieves resilient communication while maintaining high energy efficiency.

Suggested Citation

  • Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2021. "Resilient communication model for satellite networks using clustering technique," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    • Handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003690
    DOI: 10.1016/j.ress.2021.107850
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832021003690
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2021.107850?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alcantara-Jiménez, Guillermo & Clempner, Julio B., 2020. "Repeated Stackelberg security games: Learning with incomplete state information," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    2. Cook, Jason L. & Ramirez-Marquez, Jose Emmanuel, 2009. "Optimal design of cluster-based ad-hoc networks using probabilistic solution discovery," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 218-228.
    3. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    4. Dharmaraja, S. & Vinayak, Resham & Trivedi, Kishor S., 2016. "Reliability and survivability of vehicular ad hoc networks: An analytical approach," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 28-38.
    5. Henry, Devanandham & Emmanuel Ramirez-Marquez, Jose, 2012. "Generic metrics and quantitative approaches for system resilience as a function of time," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 114-122.
    6. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng & Gao, Su, 2021. "An agent-based clustering framework for reliable satellite networks," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    7. Nozhati, Saeed & Sarkale, Yugandhar & Ellingwood, Bruce & K.P. Chong, Edwin & Mahmoud, Hussam, 2019. "Near-optimal planning using approximate dynamic programming to enhance post-hazard community resilience management," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 116-126.
    8. Mohajer, Amin & Bavaghar, Maryam & Farrokhi, Hamid, 2020. "Mobility-aware load Balancing for Reliable Self-Organization Networks: Multi-agent Deep Reinforcement Learning," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    9. Lowe, Christopher J. & Macdonald, Malcolm, 2020. "Space mission resilience with inter-satellite networking," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    10. Niu, Yi-Feng & Wan, Xiao-Yu & Xu, Xiu-Zhen & Ding, Dong, 2020. "Finding all multi-state minimal paths of a multi-state flow network via feasible circulations," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    11. Castet, Jean-Francois & Saleh, Joseph H., 2012. "On the concept of survivability, with application to spacecraft and space-based networks," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 123-138.
    12. Zheng, Xiaohu & Yao, Wen & Xu, Yingchun & Chen, Xianqi, 2019. "Improved compression inference algorithm for reliability analysis of complex multistate satellite system based on multilevel Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 123-142.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kong, Linghao & Wang, Lizhi & Cao, Zhongzheng & Wang, Xiaohong, 2024. "Resilience evaluation of UAV swarm considering resource supplementation," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. Zhang, Le & Du, Ye, 2023. "Cascading failure model and resilience enhancement scheme of space information networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng & Gao, Su, 2021. "A reliable framework for satellite networks achieving energy requirements," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    3. Zhang, Le & Du, Ye, 2023. "Cascading failure model and resilience enhancement scheme of space information networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Kenneth Martínez & David Claudio, 2023. "Expanding Fundamental Boundaries between Resilience and Survivability in Systems Engineering: A Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    5. Geng, Sunyue & Yang, Ming & Mitici, Mihaela & Liu, Sifeng, 2023. "A resilience assessment framework for complex engineered systems using graphical evaluation and review technique (GERT)," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. Dong, Shangjia & Gao, Xinyu & Mostafavi, Ali & Gao, Jianxi & Gangwal, Utkarsh, 2023. "Characterizing resilience of flood-disrupted dynamic transportation network through the lens of link reliability and stability," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    7. Tiong, Achara & Vergara, Hector A., 2023. "Evaluation of network expansion decisions for resilient interdependent critical infrastructures with different topologies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    8. Payuna Uday & Karen Marais, 2015. "Designing Resilient Systems‐of‐Systems: A Survey of Metrics, Methods, and Challenges," Systems Engineering, John Wiley & Sons, vol. 18(5), pages 491-510, October.
    9. Zou, Qiling & Chen, Suren, 2021. "Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    10. Chatterjee, Abheek & Layton, Astrid, 2020. "Mimicking nature for resilient resource and infrastructure network design," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    11. Xiang, Shihu & Yang, Jun, 2018. "Performance reliability evaluation for mobile ad hoc networks," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 32-39.
    12. Tina Song, Wheyming & Lin, Peisyuan, 2018. "System reliability of stochastic networks with multiple reworks," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 258-268.
    13. Trucco, Paolo & Petrenj, Boris, 2023. "Characterisation of resilience metrics in full-scale applications to interdependent infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    14. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    15. Milan Janić, 2018. "Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events: the case of HSR (high speed rail)," Transportation, Springer, vol. 45(4), pages 1101-1137, July.
    16. Yang, Bofan & Zhang, Lin & Zhang, Bo & Xiang, Yang & An, Lei & Wang, Wenfeng, 2022. "Complex equipment system resilience: Composition, measurement and element analysis," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    17. Zobel, Christopher W. & Baghersad, Milad, 2020. "Analytically comparing disaster resilience across multiple dimensions," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    18. Zeng, Zhiguo & Fang, Yi-Ping & Zhai, Qingqing & Du, Shijia, 2021. "A Markov reward process-based framework for resilience analysis of multistate energy systems under the threat of extreme events," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    19. Liang, Zhenglin & Li, Yan-Fu, 2023. "Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    20. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003690. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.