Role of fog-assisted Industrial Internet of Things: A systematic review,Transactions on Emerging Telecommunications Technologies

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Role of fog-assisted Industrial Internet of Things: A systematic review
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2022-07-29 , DOI: 10.1002/ett.4611
Thankaraja Raja Sree ₁

Affiliation

The manufacturing industry is benefiting a lot since the Industrial Internet of Things (IIoT) deploys sensors and actuators to calibrate, audit, and analyze data to enhance efficiency and profitability, thereby automating systems in the industrial sector. The exponential growth of smart devices in the industrial sector requires real-time connectivity, low latency, nearby storage, secure communication, and reliability. To meet this demand, fog computing is effectively used in IIoT applications. Fog computing solves most of the problems in the fourth industrial revolution, which is the interface between end-user devices and cloud/web services. Fog also allows for local processing with minimal acceptable latency. This article focuses on how fog computing becomes part of IIoT and also explores the architecture of fog-assisted IIoT applications. The taxonomy is built by classifying the existing literature to reveal the salient features of fog computing in IIoT. This article also discusses IIoT security solutions as well as research problems of fog-assisted IIoT. This article also outlines the research challenges of fog-assisted IIoT and also discusses the security solutions of IIoT.

中文翻译：

雾辅助工业物联网的作用：系统回顾

制造业受益匪浅，因为工业物联网 (IIoT) 部署传感器和执行器来校准、审计和分析数据以提高效率和盈利能力，从而使工业部门的系统自动化。工业领域智能设备的指数级增长需要实时连接、低延迟、就近存储、安全通信和可靠性。为了满足这一需求，雾计算被有效地用于工业物联网应用。雾计算解决了第四次工业革命中的大部分问题，它是终端用户设备与云/网络服务之间的接口。Fog 还允许以可接受的最小延迟进行本地处理。本文重点介绍雾计算如何成为 IIoT 的一部分，并探讨雾辅助 IIoT 应用程序的架构。该分类法是通过对现有文献进行分类来构建的，以揭示 IIoT 中雾计算的显着特征。本文还讨论了 IIoT 安全解决方案以及雾辅助 IIoT 的研究问题。本文还概述了雾辅助 IIoT 的研究挑战，并讨论了 IIoT 的安全解决方案。

更新日期：2022-07-29

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