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A new multi-layer performance analysis of unmanned system-of-systems within IoT

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  • Wang, Kaixuan
  • Zhao, Tingdi
  • Yuan, Yuan
  • Hao, Zhenkai
  • Chen, Zhiwei
  • Dui, Hongyan

Abstract

Internet of Things (IoT)-enabled unmanned system-of-systems (USoS) is vital in disaster management, rescue operations, and military missions. However, research on performance loss and improvement strategies of USoS under multiple shocks has been limited. Thus, evaluating performance loss and developing improvement strategies for USoS is critical to boosting mission capability and efficiency. This paper presents a multi-layer performance analysis method for USoS within the IoT framework. Firstly, we established a multi-layer USoS structure, dividing it into physical, communication, and command layers to address variable performance and mission baselines. Secondly, an USoS performance loss model is established based on the degradation-threshold-shock models and the signal-to-noise-and-interference ratio to enhance USoS performance evaluation accuracy. Thirdly, performance improvement strategies of USoS are proposed by combining the observe, orient, decide, and act (OODA) loop with the minimum cost maximum flow theory to optimize resource allocation and reconfigure emergency links. Finally, a sea-air collaborative USoS serves as a case study to validate the efficacy of the proposed method, showing significant post-implementation performance gains, and offering a reference for mitigating performance loss and enhancing reliability during multiple shocks.

Suggested Citation

  • Wang, Kaixuan & Zhao, Tingdi & Yuan, Yuan & Hao, Zhenkai & Chen, Zhiwei & Dui, Hongyan, 2025. "A new multi-layer performance analysis of unmanned system-of-systems within IoT," Reliability Engineering and System Safety, Elsevier, vol. 259(C).
    • Handle: RePEc:eee:reensy:v:259:y:2025:i:c:s0951832025001565
    DOI: 10.1016/j.ress.2025.110953
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    References listed on IDEAS

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    1. 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).
    2. 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.
    3. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2024. "A new self-adaptive mission aborting policy for systems operating in uncertain random shock environment," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    4. Xu, Renjie & Liu, Jiahao & Li, Jichao & Yang, Kewei & Zio, Enrico, 2024. "TSoSRA: A task-oriented resilience assessment framework for system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    5. Guanjun Wang & Peng Liu & Lijuan Shen, 2023. "Failure rate-based models for systems subject to random shocks," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(11), pages 3982-4000, June.
    6. Wang, Zhaojing & Jia, Limin & Ma, Xiaoping & Sun, Xuehui & Tang, Qianxue & Qian, Sina, 2022. "Accessibility-oriented performance evaluation of high-speed railways using a three-layer network model," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. 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).
    8. Chen, Zhiwei & Zhao, Yanlin & Yang, Jinling & Wang, Yao & Dui, Hongyan, 2024. "A novel degradation model and reliability evaluation methodology based on two-phase feature extraction: An application to marine lubricating oil pump," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    9. 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).
    10. 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).
    11. Chen, Zhiwei & Hong, Dongpao & Cui, Weiwei & Xue, Weikang & Wang, Yao & Zhong, Jilong, 2023. "Resilience evaluation and optimal design for weapon system of systems with dynamic reconfiguration," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    12. Yang, Jinling & Chen, Zhiwei & Criado, Regino & Zhang, Shenggui, 2024. "A mathematical framework for shortest path length computation in multi-layer networks with inter-edge weighting and dynamic inter-edge weighting: The case of the Beijing bus network, China," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    13. 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).
    14. Wang, Ning & Tian, Tian-zi & He, Jia-tao & Zhang, Chang-zhen & Yang, Jun, 2024. "Transmission reliability evaluation of wireless sensor networks considering channel capacity randomness and energy consumption failure," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
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    1. Dui, Hongyan & Zhang, Aoji & Zhou, Yan & Tang, Chu, 2026. "IoT-based reliability analysis and maintenance strategy of unmanned equipment communication systems," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).

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