Fog computing enabling industrial internet of things

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.

Authors:
Basir Rabeea, Qaisar Saad, Ali Mudassar, Aldwairi Monther, Ashraf Muhammad Ikram, Mahmood Aamir, Gidlund Mikael

Publication type:
A1 Journal article – refereed

Place of publication:

Keywords:
cloud computing, Cyber Physical System, edge computing, fog computing, industrial automation, Industrial Internet of Things, Industry 4.0, Internet of Things, smart devices, smart factory

Published:

Full citation:
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

DOI:
https://doi.org/10.3390/s19214807

Read the publication here:
http://urn.fi/urn:nbn:fi-fe202002286864