Reliability of wireless sensor networks subject to phase-dependent probabilistic competing failures

Yujie Wang, L. Xing
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引用次数: 3

Abstract

This paper considers phase-dependent probabilistic failure competitions in reliability analysis of wireless sensor network (WSN) applications. Particularly, a WSN can experience probabilistic functional dependence (PFD) behavior where operations of some sensors (referred to as probabilistic-dependent components) rely on functions of relay nodes (referred to as trigger components) with certain probabilities. Failure competitions exist in the time-domain between the local failure (e.g., transmission unit failure) of a relay node and propagated failures of its dependent sensors (e.g., jamming attacks), causing distinct system statuses. Further, a WSN may be subject to phased-mission requirements, incurring dynamics in system configuration and component failure behavior, as well as statistical dependencies across phases for a given component, which makes the reliability analysis more challenging. This paper models effects of phase-dependent probabilistic competing failures, and suggests a multi-valued decision diagram (MDD) based combinatorial procedure for reliability analysis of non-repairable WSN systems. The proposed method is applicable to arbitrary types of time-to-failure distributions for WSN components and probabilistic isolation factors. A case study of a WSN system for lab condition monitoring is presented to illustrate application and advantages of the proposed method.
相位相关概率竞争故障下无线传感器网络的可靠性
本文在无线传感器网络应用的可靠性分析中考虑了相位相关的概率失效竞争。特别是,WSN可能会经历概率函数依赖(PFD)行为,其中某些传感器(称为概率相关组件)的操作依赖于具有特定概率的中继节点(称为触发组件)的功能。故障竞争存在于中继节点的本地故障(如传输单元故障)和其依赖传感器的传播故障(如干扰攻击)之间的时域中,导致不同的系统状态。此外,WSN可能会受到分阶段任务需求的影响,导致系统配置和组件故障行为的动态变化,以及给定组件跨阶段的统计依赖性,这使得可靠性分析更具挑战性。建立了相位相关概率竞争失效的模型,提出了一种基于多值决策图(MDD)的组合方法用于不可修WSN系统的可靠性分析。该方法适用于任意类型的WSN组件失效时间分布和概率隔离因子。最后以实验室状态监测的无线传感器网络系统为例,说明了该方法的应用和优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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