Journal
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 142, Issue -, Pages 388-398Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2015.06.005
Keywords
Body sensor network; Local failure; Propagated failure with global effect; Probabilistic competing failure; Probabilistic functional dependence; Reliability analysis
Funding
- US National Science Foundation [1401711, 1429120, 1407882, 1112947]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1112947] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1429120] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1401711] Funding Source: National Science Foundation
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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. (C) 2015 Elsevier Ltd. All rights reserved.
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