Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community

Cascading failures are a critical factor affecting the reliability of industrial Internet of things (IIoT) systems. Establishing a realistic cascading failure model is of significant importance for researching and improving the reliability of IIoT. However, existing research on cascading failure modeling for IIoT lacks in-depth exploration of the actual characteristics of industrial scenarios, making it difficult to accurately characterize the cascading failure process in IIoT. In this work, based on the cyber–service coupling characteristic of IIoT systems, we establish a realistic interdependent network model, taking into full consideration the sensing-control data flow, the service community structure, and the diverse coupling patterns. On this basis, a cascading failure model for IIoT is developed, considering the routing-driven characteristic of the cyber network and the production–supply relationships among various manufacturing units in the service network. Extensive experiments are conducted to verify the rationality of the proposed model, and some meaningful findings are also obtained.

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Publication Details

Journal
IEEE Transactions on Reliability
Published
2024-08-20
DOI
https://doi.org/10.1109/tr.2024.3440337
Citations
14
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
10.91

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article

Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community

Rui Peng, Xiuwen Fu, Dingyi Zheng, Xiangwei Liu et al.
14 citations
IEEE Transactions on Reliability
Technology and Data Analysis
10.91
article

Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community

Rui Peng, Xiuwen Fu, Dingyi Zheng, Xiangwei Liu, Liudong Xing
article en
14 citations

Abstract

Cascading failures are a critical factor affecting the reliability of industrial Internet of things (IIoT) systems. Establishing a realistic cascading failure model is of significant importance for researching and improving the reliability of IIoT. However, existing research on cascading failure modeling for IIoT lacks in-depth exploration of the actual characteristics of industrial scenarios, making it difficult to accurately characterize the cascading failure process in IIoT. In this work, based on the cyber–service coupling characteristic of IIoT systems, we establish a realistic interdependent network model, taking into full consideration the sensing-control data flow, the service community structure, and the diverse coupling patterns. On this basis, a cascading failure model for IIoT is developed, considering the routing-driven characteristic of the cyber network and the production–supply relationships among various manufacturing units in the service network. Extensive experiments are conducted to verify the rationality of the proposed model, and some meaningful findings are also obtained.

IEEE Transactions on ReliabilityVol. 74(2)
University of Massachusetts Dartmouth (US), Beijing University of Technology (CN), Shanghai Maritime University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Technology and Data Analysis
10.91
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Modeling and Analysis of Cascading Failures in Industrial Internet of Things Considering Sensing-Control Flow and Service Community — Rui Peng, Xiuwen Fu, et al. · IEEE Transactions on Reliability (2024) | TGRS Research Map | TGRS