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Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan.
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan.
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan.
College of Technological Innovation, Zayed University, Abu Dhabi 144534, UAE.
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2019 (Engelska)Ingår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 19, nr 21, artikel-id 4807Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
2019. Vol. 19, nr 21, artikel-id 4807
Nyckelord [en]
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
Nationell ämneskategori
Kommunikationssystem Telekommunikation
Identifikatorer
URN: urn:nbn:se:miun:diva-37650DOI: 10.3390/s19214807ISI: 000498834000204PubMedID: 31694254Scopus ID: 2-s2.0-85074621609OAI: oai:DiVA.org:miun-37650DiVA, id: diva2:1369144
Forskningsfinansiär
KK-stiftelsen, 20180178Tillgänglig från: 2019-11-11 Skapad: 2019-11-11 Senast uppdaterad: 2020-01-16Bibliografiskt granskad

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Mahmood, AamirGidlund, Mikael
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