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Reliability analysis of IoT systems with competitions from cascading probabilistic function dependence

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  • Zhao, Guilin
  • Xing, Liudong

Abstract

This paper models an Internet of Things (IoT) system subject to probabilistic functional dependence (PFD), which takes place when the failure of one component (trigger) causes other system components (dependent components) to become isolated or inaccessible with certain probabilities. Competitions in the time domain between the trigger failure and dependent components’ propagated failures may lead to dramatically different system statuses. The PFD behavior abounds in IoT systems involving relayed wireless communications (e.g., body sensor systems, smart homes). The existing works assume single-level PFD and zero failure propagation time. In practice, however cascading PFD may take place in IoT systems with multi-level configurations. Due to the cascading effect, a component may play a dual role as both a trigger and a dependent component simultaneously, creating correlations among different PFD groups. In addition, the failure originating from a component may take some random time to become effective. In this work, we make contributions by proposing a combinatorial hierarchical methodology for reliability analysis of IoT systems subject to cascading PFD and random failure propagation time. The suggested methodology is applicable to arbitrary types of failure time and propagation time distributions. An example smart home sensor system is analyzed to demonstrate the proposed methodology.

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  • Zhao, Guilin & Xing, Liudong, 2020. "Reliability analysis of IoT systems with competitions from cascading probabilistic function dependence," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:reensy:v:198:y:2020:i:c:s0951832019307744
    DOI: 10.1016/j.ress.2020.106812
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    References listed on IDEAS

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    1. Wang, Chaonan & Xing, Liudong & Peng, Rui & Pan, Zhusheng, 2017. "Competing failure analysis in phased-mission systems with multiple functional dependence groups," Reliability Engineering and System Safety, Elsevier, vol. 164(C), pages 24-33.
    2. Wang, Yujie & Xing, Liudong & Levitin, Gregory & Huang, Ning, 2018. "Probabilistic competing failure analysis in phased-mission systems," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 37-51.
    3. Wang, Yujie & Xing, Liudong & Wang, Honggang & Levitin, Gregory, 2015. "Combinatorial analysis of body sensor networks subject to probabilistic competing failures," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 388-398.
    4. Wang, Chaonan & Xing, Liudong & Levitin, Gregory, 2013. "Reliability analysis of multi-trigger binary systems subject to competing failures," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 9-17.
    5. Wang, Chaonan & Xing, Liudong & Levitin, Gregory, 2012. "Competing failure analysis in phased-mission systems with functional dependence in one of phases," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 90-99.
    6. Xing, Liudong & Levitin, Gregory, 2010. "Combinatorial analysis of systems with competing failures subject to failure isolation and propagation effects," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1210-1215.
    7. Maaroufi, Ghofrane & Chelbi, Anis & Rezg, Nidhal, 2013. "Optimal selective renewal policy for systems subject to propagated failures with global effect and failure isolation phenomena," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 61-70.
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    Cited by:

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    6. Fu, Xiuwen & Li, Qing & Li, Wenfeng, 2023. "Modeling and analysis of industrial IoT reliability to cascade failures: An information-service coupling perspective," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
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    12. Jafary, Bentolhoda & Mele, Andrew & Fiondella, Lance, 2020. "Component-based system reliability subject to positive and negative correlation," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    13. Yu Zang & Jiaxiang E & Lance Fiondella, 2024. "A Network Reliability Analysis Method for Complex Real-Time Systems: Case Studies in Railway and Maritime Systems," Mathematics, MDPI, vol. 12(19), pages 1-30, September.
    14. Wang, Chaonan & Liu, Qiongyang & Xing, Liudong & Guan, Quanlong & Yang, Chunhui & Yu, Min, 2022. "Reliability analysis of smart home sensor systems subject to competing failures," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    15. Zhao, Guilin & Xing, Liudong, 2021. "Reliability analysis of body sensor networks subject to random isolation time," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    16. Wang, Ning & Xiao, Yiyong & Tian, Tianzi & Yang, Jun, 2023. "The optimal 5G base station location of the wireless sensor network considering timely reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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