چکیده

Maintaining critical data and process availability is an important challenge of Industry 4.0. Given the variety of smart nodes data and the maximum access latency that can be tolerated by consumers in modern IoT-based industry we propose a method for analyzing the resiliency of an IoT network. Due to the complexity of the structure of a system different components in the system can affect the system s resiliency. Therefore a fundamental problem is to propose an insightful centrality measure to quantify the value of resilience contribution of a node in each system effectively. This paper aims to identify the most critical vertices of the network with respect to the latency constraint resiliency metric. Using important centrality metrics we identify critical nodes in industrial IoT networks to analyze the degree of resiliency in the IoT environments. The results show that when nodes with the highest value of Closeness Centrality (CC) were disrupted RL would have the lowest value that indicates the nodes with the high values for CC are most critical in an IoT network.

کليدواژه ها

resiliency centrality metrics industrial IoT network

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منصوره میرزایی , 1400 , Ranking Resilience Events in IoT Industrial Networks , پنجمين دوره كنفرانس بین‌المللی اينترنت اشيا و كاربردها