The proliferation of Internet of Things (IoT) has enabled rapid enhancements for applications, not only in home and environment scenarios, but also in factory automation. Now, Industrial Internet of Things (IIoT) offers all the advantages of IoT to industry, with applications ranging from remote sensing and actuating, to de-centralization and autonomy.

In this book, the editor presents the IIoT and its place during the new industrial revolution (Industry 4.0) as it takes us to a better, sustainable, automated, and safer world. The book covers the cross relations and implications of IIoT with existing wired/wireless communication/networking and safety technologies of the Industrial Networks. Moreover, the book includes practical use-case scenarios from the industry for the application of IIoT on smart factories, smart cities, and smart grids. IoT-driven advances in commercial and industrial building lighting and in street lighting are presented as an example to shed light on the application domain of IIoT.

The state of the art in Industrial Automation is also presented to give a better understanding of the enabling technologies, potential advantages, and challenges of the Industry 4.0 and IIoT.

Finally, yet importantly, the security section of the book covers the cyber-security related needs of the IIoT users and the services that might address these needs. User privacy, data ownership, and proprietary information handling related to IIoT networks are all investigated. Intrusion prevention, detection, and mitigation are all covered at the conclusion of the book.

Table of Contents

Part  I Preliminaries, Design Principles and Challenges

1 Industrial Networks and lloT: Now and Future Trends

2 Wireless Communication for the Industrial loT

Part II Automation Trends and Applications

3 loT-Driven Advances in Commercial and Industrial Building Lighting

4 Automation Trends in Industrial Networks and lloT

Part  Ill Cyber Security

5 Security in Decentralised Computing, loT and Industrial loT

6 Intrusion Detection in Industrial Networks via Data Streaming

About the Authors

Ismail Butun (Ph.D.) received his B.Sc. and M.Sc. degrees in Electricaland Electronics Engineering from Hacettepe University. He received hissecond M.Sc. degree and Ph.D. degree in Electrical Engineering from theUniversity of South Florida in 2009 and 2013, respectively. He worked as anAssistant Professor in years between 2015 and 2017 at Bursa Technical Universityand Abdullah Gul University. From 2016 to 2019, he was employed as a post-doctoral researcher by the University of Delaware and Mid Sweden University,respectively. Since July 2019, he has been working as a post-doctoral fellow forNetwork and Systems Division, Department of Computer Science and Engineeringat Chalmers University of Technology. He has more than 36 publications ininternational peer-reviewed scientific journals and conference proceedings, alongwith an H-index of 12 and I-index of 14.

Dr. Butun is a well-recognized academic reviewer by IEEE, ACM, and Springer,who served for 39 various scientific journals and conferences in the review processof more than 106 articles. He contributed as a track chair and session chair fornumerous international conferences and workshops, and performed as a technicalprogram committee (TPC) member for several international conferences organizedby IEEE, Springer, and ACM. His research interests include but not limited tocomputer networks, wireless communications, WSNs, IoT, IIoT, LPWAN, LoRa,cyber-physical systems, cryptography, network security, and intrusion detection.