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Review

Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

1
School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad 44000, Pakistan
2
Department of Telecommunication Engineering, University of Engineering and Technology, Taxila 47050, Pakistan
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College of Technological Innovation, Zayed University, Abu Dhabi 144534, UAE
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Centre for Wireless Communication, University of Oulu, 90014 Oulu, Finland
5
Department of Information Systems and Technology, Mid Sweden University, 85170 Sundsvall, Sweden
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(21), 4807; https://doi.org/10.3390/s19214807
Received: 14 August 2019 / Revised: 18 October 2019 / Accepted: 23 October 2019 / Published: 5 November 2019
(This article belongs to the Special Issue Internet of Things and Sensors Networks in 5G Wireless Communications)
Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies. View Full-Text
Keywords: Industry 4.0; Internet of Things; Industrial Internet of Things; Cyber Physical System; cloud computing; fog computing; edge computing; smart devices; smart factory; industrial automation Industry 4.0; Internet of Things; Industrial Internet of Things; Cyber Physical System; cloud computing; fog computing; edge computing; smart devices; smart factory; industrial automation
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MDPI and ACS Style

Basir, R.; Qaisar, S.; Ali, M.; Aldwairi, M.; Ashraf, M.I.; Mahmood, A.; Gidlund, M. Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges. Sensors 2019, 19, 4807. https://doi.org/10.3390/s19214807

AMA Style

Basir R, Qaisar S, Ali M, Aldwairi M, Ashraf MI, Mahmood A, Gidlund M. Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges. Sensors. 2019; 19(21):4807. https://doi.org/10.3390/s19214807

Chicago/Turabian Style

Basir, Rabeea, Saad Qaisar, Mudassar Ali, Monther Aldwairi, Muhammad I. Ashraf, Aamir Mahmood, and Mikael Gidlund. 2019. "Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges" Sensors 19, no. 21: 4807. https://doi.org/10.3390/s19214807

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