IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v244y2024ics0951832023008189.html
   My bibliography  Save this article

A dynamic resilience evaluation method for cross-domain swarms in confrontation

Author

Listed:
  • Zhang, Chi
  • Liu, Tao
  • Bai, Guanghan
  • Tao, Junyong
  • Zhu, Wenjin

Abstract

As a typical Internet of Things system, unmanned swarms can execute missions efficiently, while reduce risks and ensure personnel safety during operations. Because swarms in different physical domains have different advantages, the cross-domain swarms received lots of attentions recently. Since swarm has the ability to resist damage and recover from damage through self-organization and self-reconfiguration, resilience has become an important indicator for swarm design and mission planning in adversarial environments. Existing resilience evaluation methods require a complete degradation-recovery-stabilization process of system performance, which is not proper for the cross-domain swarm under dynamic and uncertain environment. This paper proposes a dynamic resilience evaluation method for cross-domain swarms in confrontation scenario. First, a cross-domain swarm confrontation model is developed and the swarm confrontation performance indicator is proposed. Second, a dynamic resilience evaluation method is proposed for cross-domain swarm. Then, a confrontation strategy selection model is given based on the resilience measurement. A case study of air-ground swarm in confrontations is provided for illustration and analysis. As can be seen from the simulation results, the proposed dynamic resilience method can better capture the dynamic and uncertain nature of cross-domain swarms in confrontation. The proposed strategy selection model can improve the overall resilience of the swarm, and ultimately improve the winning percentage of the cross-domain swarm in confrontation.

Suggested Citation

  • Zhang, Chi & Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhu, Wenjin, 2024. "A dynamic resilience evaluation method for cross-domain swarms in confrontation," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:reensy:v:244:y:2024:i:c:s0951832023008189
    DOI: 10.1016/j.ress.2023.109904
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832023008189
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2023.109904?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. Bai, Guanghan & Li, Yanjun & Fang, Yining & Zhang, Yun-An & Tao, Junyong, 2020. "Network approach for resilience evaluation of a UAV swarm by considering communication limits," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    3. Feng, Qiang & Liu, Meng & Dui, Hongyan & Ren, Yi & Sun, Bo & Yang, Dezhen & Wang, Zili, 2022. "Importance measure-based phased mission reliability and UAV number optimization for swarm," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    4. Xu, Bei & Bai, Guanghan & Liu, Tao & Fang, Yining & Zhang, Yun-an & Tao, Junyong, 2023. "An improved swarm model with informed agents to prevent swarm-splitting," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    5. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining & Xu, Bei, 2022. "Modeling and evaluation method for resilience analysis of multi-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    6. Zhao, Jiangbin & Si, Shubin & Cai, Zhiqiang & Guo, Peng & Zhu, Wenjin, 2020. "Mission success probability optimization for phased-mission systems with repairable component modules," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    7. Xiao Liang & Honglun Wang & Haitao Luo, 2020. "Collaborative Pursuit-Evasion Strategy of UAV/UGV Heterogeneous System in Complex Three-Dimensional Polygonal Environment," Complexity, Hindawi, vol. 2020, pages 1-13, July.
    8. 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).
    9. Li, Hongxu & Sun, Qin & Zhong, Yuanfu & Huang, Zhiwen & Zhang, Yingchao, 2023. "A soft resource optimization method for improving the resilience of UAV swarms under continuous attack," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    10. Zhu, Xiaoning & Zhu, Xiaoping & Yan, Rui & Peng, Rui, 2021. "Optimal routing, aborting and hitting strategies of UAVs executing hitting the targets considering the defense range of targets," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. Dui, Hongyan & Zhang, Chi & Bai, Guanghan & Chen, Liwei, 2021. "Mission reliability modeling of UAV swarm and its structure optimization based on importance measure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining, 2024. "A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    13. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2023. "Co-optimizing component allocation and activation sequence in heterogeneous 1-out-of-n standby system exposed to shocks," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    14. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    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. Song, Xueying & Qi, Lei & Liu, Shiyan & Ding, Shuiting & Li, Daqing, 2024. "Simple analysis of complex system safety based on Finite State Machine Network and phase space theory," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. Li, Hongxu & Zhong, Yuanfu & Zhuang, Xuebin, 2024. "A soft resource optimization method based on autonomous coordination of unmanned swarms system driven by resilience," Reliability Engineering and System Safety, Elsevier, vol. 249(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. Zhou, Xinxin & Huang, Yun & Bai, Guanghan & Xu, Bei & Tao, Junyong, 2024. "The resilience evaluation of unmanned autonomous swarm with informed agents under partial failure," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    2. Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-An & Fang, Yining, 2024. "A Multistate Network Approach for Resilience Analysis of UAV Swarm considering Information Exchange Capacity," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Li, Hongxu & Sun, Qin & Zhong, Yuanfu & Huang, Zhiwen & Zhang, Yingchao, 2023. "A soft resource optimization method for improving the resilience of UAV swarms under continuous attack," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Elena Zaitseva & Vitaly Levashenko & Ravil Mukhamediev & Nicolae Brinzei & Andriy Kovalenko & Adilkhan Symagulov, 2023. "Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis," Mathematics, MDPI, vol. 11(11), pages 1-26, June.
    5. Li, Hongxu & Zhong, Yuanfu & Zhuang, Xuebin, 2024. "A soft resource optimization method based on autonomous coordination of unmanned swarms system driven by resilience," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    6. Liu, Lujie & Yang, Jun, 2023. "A dynamic mission abort policy for the swarm executing missions and its solution method by tailored deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    7. Dui, Hongyan & Zhu, Yawen & Tao, Junyong, 2024. "Multi-phased resilience methodology of urban sewage treatment network based on the phase and node recovery importance in IoT," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    8. Sun, Qin & Li, Hongxu & Zhong, Yuanfu & Ren, Kezhou & Zhang, Yingchao, 2024. "Deep reinforcement learning-based resilience enhancement strategy of unmanned weapon system-of-systems under inevitable interferences," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    9. 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).
    10. Dui, Hongyan & Lu, Yaohui & Wu, Shaomin, 2024. "Competing risks-based resilience approach for multi-state systems under multiple shocks," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    11. Ke Chen & Xian Zhao & Qingan Qiu, 2022. "Optimal Task Abort and Maintenance Policies Considering Time Redundancy," Mathematics, MDPI, vol. 10(9), pages 1-16, April.
    12. Yao, Jinyong & Gao, Zhanfei & He, Yihai & Peng, Chong, 2024. "Integrated mission reliability modeling for multistate manufacturing systems considering heterogeneous feedstocks based on extended stochastic flow manufacturing network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    13. Xu, Bei & Liu, Tao & Bai, Guanghan & Tao, Junyong & Zhang, Yun-an & Fang, Yining, 2022. "A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    14. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    15. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    16. Liu, Mingli & Wang, Dan & Si, Shubin, 2023. "Mixed reliability importance-based solving algorithm design for the cost-constrained reliability optimization model," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    17. Xie, Mingjiang & Zhao, Jianli & Zuo, Ming J. & Tian, Zhigang & Liu, Libin & Wu, Jinming, 2023. "Multi-objective maintenance decision-making of corroded parallel pipeline systems," Applied Energy, Elsevier, vol. 351(C).
    18. Wu, Tingwei & Xia, Yongxiang & Liang, Yuanyuan, 2024. "Load cascades in spatial networks: A sandpile model approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 644(C).
    19. Wei, Yian & Cheng, Yao & Liao, Haitao, 2024. "Optimal resilience-based restoration of a system subject to recurrent dependent hazards," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    20. Li, Xiang-Yu & Li, Xiaopeng & Feng, Jianxiang & Li, Congming & Xiong, Xiaoyan & Huang, Hong-Zhong, 2023. "Reliability analysis and optimization of multi-phased spaceflight with backup missions and mixed redundancy strategy," Reliability Engineering and System Safety, Elsevier, vol. 237(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:244:y:2024:i:c:s0951832023008189. 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.