This book has a focus on the development and deployment of the
Industrial Internet of Things (IIoT) paradigm, discussing
frameworks, methodologies, benefits and limitations, as well as
providing case studies of employing the IoT vision in the
industrial domain. IIoT is becoming an attractive business reality
for many organisations such as manufacturing, logistics, oil and
gas, energy and other utilities, mining, aviation, and many more.
The opportunities for this paradigm are huge, and according to one
report, the IIoT market is predicted to reach $125 billion by 2021.
The driving philosophy behind the IIoT is that smart machines are
better than humans at accurately capturing, analysing and
communicating real-time data. The underlying technologies include
distributed computing, machine learning, artificial intelligence,
and machine-to-machine communication, with a typical IIoT system
consisting of intelligent systems (applications, controllers,
sensors, and security mechanisms), data communication
infrastructure (cloud computing, edge computing, etc.), data
analytics (to support business intelligence and corporate decision
making), and most importantly the human element. The promised
benefits of the IIoT include enhanced safety, better reliability,
smart metering, inventory management, equipment tracking, and
facilities management. There are, however, numerous issues that are
also becoming the focus of active research, such as concerns
regarding service availability, data security, and device
communication. Lack of ubiquitous interoperability between
heterogeneous devices is also a major concern. This book intends to
fill a gap in the IIoT literature by providing the scientific
contributions and latest developments from researchers and
practitioners of international repute, focusing on frameworks,
methodologies, benefits, and inherent issues/barriers to connected
environments, especially in industrial settings. The intended
audience includes network specialists, hardware engineers, and
security experts who wish to adopt newer approaches for device
connectivity, IoT security, and sensor-based devices design.
University level students, researchers and practitioners will also
find the latest innovation in technology and newer approaches
relevant to the IIoT from a distributed computing perspective.
General
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