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A Framework and Classification for Fault Detection Approaches in Wireless Sensor Networks with an Energy Efficiency Perspective

机译:具有能效视角的无线传感器网络故障检测方法的框架和分类

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Wireless Sensor Networks (WSNs) are more and more considered a key enabling technology for the realisation of the Internet of Things (IoT) vision. With the long term goal of designing fault-tolerant IoT systems, this paper proposes a fault detection framework for WSNs with the perspective of energy efficiency to facilitate the design of fault detection methods and the evaluation of their energy efficiency. Following the same design principle of the fault detection framework, the paper proposes a classification for fault detection approaches. The classification is applied to a number of fault detection approaches for the comparison of several characteristics, namely, energy efficiency, correlation model, evaluation method, and detection accuracy. The design guidelines given in this paper aim at providing an insight into better design of energy-efficient detection approaches in resource-constraint WSNs.
机译:无线传感器网络(WSNS)越来越多地考虑了实现事物互联网(物联网)视觉的关键能够实现技术。随着设计容错物联网系统的长期目标,本文提出了WSN的故障检测框架,能效的视角,以方便故障检测方法的设计及其能效的评估。在故障检测框架的相同设计原理之后,该论文提出了故障检测方法的分类。分类应用于多个故障检测方法,用于比较若干特性,即能量效率,相关模型,评估方法和检测精度。本文给出了设计指南,旨在深入了解资源约束WSN中的节能检测方法更好地设计。

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