A way forward towards a technology-driven development of industry 4.0 using big data analytics in 5G-enabled IIoT

【Author】 Atharvan, Gannu; Krishnamoorthy, Sreelakshmi Koolikkara Madom; Dua, Amit; Gupta, Shashank

【Source】INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

【影响因子】1.882

【Abstract】The evolution of Internet of Things (IoT) has led to the development of Industrial Internet of Things (IIoT). IIoT is one the widely applied areas to facilitate people in the manufacturing world. The adoption of IIoT automates sensing, capturing, communicating, and processing in real time. To understand how rapidly IoT and IIoT are growing, this article examines the emergence of 5G-enabled IIoT, current research trends in IIoT, key milestones achieved in IIoT, and IoT applications specific to 5G-enabled IIoT. The paper presents the state-of-the-art in networking layered framework of IIoT and comparing relationships of technologies of cloud computing as well as edge computing paradigms. We also explored the type of security attacks and their preventive measures in an IIoT-driven 5G technology. We have also highlighted the revolution of IIoT-driven 5G framework which satisfies the demands of IIoT applications.

【Keywords】5G technology; big data analytics; cloud computing; edge computing; fog computing; IIoT

【发表时间】2022 JAN 10

【收录时间】2022-01-01

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