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Combinatorial analysis of body sensor networks subject to probabilistic competing failures

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  • Wang, Yujie
  • Xing, Liudong
  • Wang, Honggang
  • Levitin, Gregory

Abstract

Body Sensor Networks (BSNs) have been developed to provide wearable, real-time health monitoring systems for many life-critical applications that require a high level of reliability. Therefore it is significant to analyze the reliability attribute of BSNs, contributing to their reliable designs and operations. This paper models reliability of BSNs subject to probabilistic competing failures. Specifically, in a BSN system, biomedical sensors sense physiological information that is then transmitted through a relay node to a sink device used by decision makers. When the relay fails, these sensors may be isolated in transmission with certain probabilities, depending on whether the remaining power can enable a long-range, direct transmission to the sink. This isolation effect prevents the system from being compromised by further failures of those sensors. However, biomedical sensors may experience propagated failures. If any of the propagated failures occurs before the relay failure, the entire system can fail. Therefore, there exists a competition in time domain between probabilistic failure isolation and propagation effects. This paper considers such probabilistic competing effects and different statistical relationships between local and propagated failures of sensors in reliability analysis of BSNs. A case study is given to illustrate application and advantages of the proposed combinatorial method.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:142:y:2015:i:c:p:388-398
    DOI: 10.1016/j.ress.2015.06.005
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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).
    2. Che, Haiyang & Zeng, Shengkui & Guo, Jianbin & Wang, Yao, 2018. "Reliability modeling for dependent competing failure processes with mutually dependent degradation process and shock process," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 168-178.
    3. Levitin, Gregory & Xing, Liudong & Luo, Liang, 2019. "Influence of failure propagation on mission abort policy in heterogeneous warm standby systems," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 29-38.
    4. Zhao, Guilin & Xing, Liudong, 2023. "Reliability analysis of body sensor networks with correlated isolation groups," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    5. Xuefeng Wang & Zhinan Wang & Ying Huang & Yun Chen & Yi Zhang & Huichao Ren & Rongrong Li & Jinhui Pang, 2017. "Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2023-2039, June.
    6. 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.
    7. 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).
    8. 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.
    9. 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).
    10. Fan, Mengfei & Zeng, Zhiguo & Zio, Enrico & Kang, Rui, 2017. "Modeling dependent competing failure processes with degradation-shock dependence," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 422-430.

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