IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v256y2025ics0951832024008135.html
   My bibliography  Save this article

A mobile communication services reliability evaluation model considering dynamic rerouting in LEO satellite network

Author

Listed:
  • Meng, Fanyu
  • Huang, Ning
  • Cui, Guonan
  • Song, Zekun
  • Zhang, Xingbai

Abstract

Evaluating the reliability of mobile communication services (MCS) provided by the low earth orbit satellite network (LEO-SN) is critical. Although dynamic rerouting enhances MCS reliability, it also increases the uncertainty of MCS paths, making it difficult for existing studies to evaluate MCS reliability. To this end, a novel satellite network evolution model (SNEM) was proposed. Firstly, a satellite double layer network model was presented to decouple MCS from the time-varying satellite infrastructure network. Secondly, the satellite network evolution condition was designed to capture dynamic rerouting events triggered by node failures. Finally, dynamic rerouting-based satellite network evolution rule was proposed to model dynamic restorations of MCS. SNEM was applied to a mega constellation with over 1000 LEO satellites, which demonstrated its scalability and applicability. Comparative analysis with the typical service reliability evaluation method highlights the effectiveness and superiority of SNEM. The proposed model provides a strong foundation for the design and optimization of LEO-SN reliability.

Suggested Citation

  • Meng, Fanyu & Huang, Ning & Cui, Guonan & Song, Zekun & Zhang, Xingbai, 2025. "A mobile communication services reliability evaluation model considering dynamic rerouting in LEO satellite network," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008135
    DOI: 10.1016/j.ress.2024.110742
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024008135
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2024.110742?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. Da, Gaofeng & Zhang, Xin & He, Zhenwen & Ding, Weiyong, 2025. "Estimating the all-terminal signatures for networks by using deep neural network," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    2. Bouwmeester, J. & Menicucci, A. & Gill, E.K.A., 2022. "Improving CubeSat reliability: Subsystem redundancy or improved testing?," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    3. Damircheli, Mahrad & Fakoor, Mahdi & Yadegari, Hamed, 2020. "Failure assessment logic model (FALM): A new approach for reliability analysis of satellite attitude control subsystem," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    4. Niu, Yi-Feng & Zhou, Run-Hui & Xu, Xiu-Zhen & Xiang, Hai-Yan, 2024. "A reliability index to measure multi-state flow network considering capacity restoration level and maintenance cost," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    5. Xu, Xiu-Zhen & Zhou, Run-Hui & Wu, Guo-Lin & Niu, Yi-Feng, 2024. "Evaluating the transmission distance-constrained reliability for a multi-state flow network," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    6. Chang, Ping-Chen, 2022. "MC-based simulation approach for two-terminal multi-state network reliability evaluation without knowing d-MCs," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    7. Zheng, Xiaohu & Yao, Wen & Zhang, Yunyang & Zhang, Xiaoya, 2022. "Consistency regularization-based deep polynomial chaos neural network method for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    8. 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).
    9. Chen, Zhiwei & Zhang, Hao & Wang, Xinyue & Yang, Jinling & Dui, Hongyan, 2024. "Reliability analysis and redundancy design of satellite communication system based on a novel Bayesian environmental importance," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    10. 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).
    11. Yeh, Wei-Chang & Hao, Zhifeng & Forghani-elahabad, Majid & Wang, Gai-Ge & Lin, Yih-Lon, 2021. "Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    12. Lowe, Christopher J. & Macdonald, Malcolm, 2020. "Space mission resilience with inter-satellite networking," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    13. Lin, Shuai & Jia, Limin & Zhang, Hengrun & Zhang, Pengzhu, 2022. "Reliability of high-speed electric multiple units in terms of the expanded multi-state flow network," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    14. Kozyra, Paweł Marcin, 2024. "A parallel algorithm for reliability assessment of multi-state flow networks based on simultaneous finding of all multi-state minimal paths and performing state space decomposition," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    15. Bo, Yimin & Bao, Minglei & Ding, Yi & Hu, Yishuang, 2024. "A DNN-based reliability evaluation method for multi-state series-parallel systems considering semi-Markov process," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    16. Li, Xiao-Yang & Liu, Yue & Lin, Yan-Hui & Xiao, Liang-Hua & Zio, Enrico & Kang, Rui, 2021. "A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    17. 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.
    18. Chang, Ping-Chen & Huang, Ding-Hsiang & Lin, Yi-Kuei & Nguyen, Thi-Phuong, 2021. "Reliability and maintenance models for a time-related multi-state flow network via d-MC approach," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    19. Zeng, Zhiguo & Barros, Anne & Coit, David, 2023. "Dependent failure behavior modeling for risk and reliability: A systematic and critical literature review," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    20. 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).
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. 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).
    3. 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).
    4. He, Zhichao & Wang, Yanhui & Sun, Wanhua & Hao, Yucheng & Xia, Weifu, 2025. "A proactive opportunistic maintenance decision model based on reliability in train systems," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
    5. Chang, Ping-Chen, 2024. "A path-based simulation approach for multistate flow network reliability estimation without using boundary points," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    6. Yeh, Wei-Chang & Tan, Shi-Yi & Zhu, Wenbo & Huang, Chia-Ling & Yang, Guang-yi, 2022. "Novel binary addition tree algorithm (BAT) for calculating the direct lower-bound of the highly reliable binary-state network reliability," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    7. Guo, Xing & Feng, Qiang & Wu, Zeyu & Liu, Meng & Ren, Yi & Yang, Chao & Wang, Zili, 2025. "Multi-agent-based failure modeling for uncrewed swarm systems considering cross-layer diffusion characteristics," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    8. Forghani-elahabad, Majid & Yeh, Wei-Chang, 2022. "An improved algorithm for reliability evaluation of flow networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    9. Chen, Zhiwei & Zhang, Hao & Wang, Xinyue & Yang, Jinling & Dui, Hongyan, 2024. "Reliability analysis and redundancy design of satellite communication system based on a novel Bayesian environmental importance," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    10. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "An agent-based algorithm for dynamic routing in service networks," European Journal of Operational Research, Elsevier, vol. 303(2), pages 719-734.
    11. Kozyra, Paweł Marcin, 2023. "The usefulness of (d,b)-MCs and (d,b)-MPs in network reliability evaluation under delivery or maintenance cost constraints," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    12. Xu Liu & Wen Yao & Xiaohu Zheng & Yingchun Xu & Xiaoqian Chen, 2024. "Reliability analysis of complex multi-state system based on universal generating function and Bayesian Network," Journal of Risk and Reliability, , vol. 238(4), pages 797-811, August.
    13. 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).
    14. Liu, Yimeng & Sui, Shaobo & Lu, Dan & Peng, Rui & Bai, Mingyang & Li, Daqing, 2024. "Emergent lifetime distribution from complex network systems aging," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    15. Niu, Jiale & Yan, Rongfang & Zhang, Jiandong, 2025. "Preventive replacement policies of parallel/series systems with dependent components under deviation costs," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
    16. Huang, Cheng-Hao & Lin, Yi-Kuei, 2024. "Rescue and safety system development and performance evaluation by network reliability," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. Wang, Xiaolin & Xu, Jihui & Zhang, Lei & Wang, Ning, 2023. "Mission success probability optimizing of phased mission system balancing the phase backup and system risk: A novel GERT mechanism," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    18. 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).
    19. Zheng, Xiaohu & Yao, Wen & Zhang, Xiaoya & Qian, Weiqi & Zhang, Hairui, 2023. "Parameterized coefficient fine-tuning-based polynomial chaos expansion method for sphere-biconic reentry vehicle reliability analysis and design," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    20. Wu, Jinhui & Tao, Yourui & Han, Xu, 2023. "Polynomial chaos expansion approximation for dimension-reduction model-based reliability analysis method and application to industrial robots," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

    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:256:y:2025:i:c:s0951832024008135. 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.