物联网级联故障的系统回顾与未来展望：建模与优化

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2024-10-17 DOI:10.1016/j.ress.2024.110582

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引用次数: 0

摘要

在级联故障的影响下，少数节点或组件的故障可能导致整个网络系统瘫痪。级联故障已成为制约物联网（IoT）系统长期可靠运行的主要瓶颈之一，因此引起了研究人员的广泛关注。为了更好地理解物联网级联故障的复杂机理，人们提出了多种模型和方法。本文系统回顾了物联网级联故障的研究现状，涉及网络对象、性能指标、故障状态、建模方法和网络优化等多个方面。此外，我们还讨论了当前物联网级联故障研究的局限性，并指出了未来的研究方向。

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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Systematic review and future perspectives on cascading failures in Internet of Things: Modeling and optimization

Under the influence of cascading failures, the failure of a small number of nodes or components may lead to the paralysis of the entire network system. Cascading failures have become one of the major bottlenecks constraining the long-term reliable operation of Internet of Things (IoT) systems, thus attracting extensive attention from researchers. To better understand the complex mechanisms of IoT cascading failures, diverse models and methods have been proposed. This paper systematically reviews the current research status of cascading failures in IoT, covering various aspects such as network objects, performance metrics, failure states, modeling methods, and network optimization. Additionally, we discuss the limitations in current research on cascading failures in IoT and point out the future research directions.

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.