Internet of Things: Technologies and Applications for a New Age of Intelligence outlines the background and overall vision for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), associated existing and emerging technologies, as well as concrete IoT use case examples. Key technologies are described including device communication and interactions, connectivity of devices to cloud-based infrastructures, security, distributed and edge computing, data collection, and methods to derive information and knowledge from connected devices and systems using artificial intelligence and machine learning. Also included are system architectures and ways to integrate these with enterprise architectures, and considerations on potential business impacts and regulatory requirements. The book covers diverse IoT use cases from across the enterprise, industrial and consumer domains, such as smart grid, industrial automation, building automation, logistics and participatory sensing.

The target audience for this book is industry practitioners, business managers, technical and market analysts, standardization professionals, university lecturers, technical sales support teams, entrepreneurs, as well as Chief Technical Officers and Chief Strategy Officers among others. The book could be used as a reference for understanding both technical and business aspects of IoT such as IoT technology and standardization landscape, the currently main use cases of IoT, how to build and manage real-world solutions, the current fragmented business ecosystem and the impact of IoT on broader society and economy.

Authors

IoT book

Vlasios Tsiatsis, Senior Researcher at Ericsson Research, Sweden

Stamatis Karnouskos, expert IoT at SAP, Germany

Jan Höller, Research Fellow at Ericsson Research, Sweden.

David Boyle, Dyson School of Design Engineering at Imperial College London, UK.

Catherine Mulligan, Visiting Researcher at Imperial College, London, UK.

Published by Academic Press.

eBook ISBN: 9780128144367
Paperback ISBN: 9780128144350

Available on:

Elsevier

Amazon

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