Shaping the Future of IoT with Edge Intelligence

Shaping the Future of IoT with Edge Intelligence
How Edge Computing Enables the Next Generation of IoT Applications

River Publishers Series in Communications and Networking

Shaping the Future of IoT with Edge Intelligence
How Edge Computing Enables the Next Generation of IoT Applications

Rute C. Sofia, fortiss GmbH, Germany
John Soldatos, Netcompany-Intrasoft, Luxembourg

ISBN: 9788770040273 (Paperback) e-ISBN: 9788770040266

Available: October 2023


This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the edge of the cloud/edge/IoT continuum. Emphasis is placed on presenting how these technologies support a wide array of functional and non-functional requirements spanning latency, performance, cybersecurity, data protection, real-time performance, energy efficiency, and more. The various chapters of the book are contributed by several EU-funded projects, which have recently developed novel IoT platforms that enable the development and deployment of edge intelligence applications based on the cloud/edge paradigm. Each one of the projects employs its own approach and uses a different mix of networking, middleware, and IoT technologies. Therefore, each of the chapters of the book contributes a unique perspective on the capabilities of enabling technologies and their integration in practical real-life applications in different sectors. The book is structured in five distinct parts. Each one of the first four parts focuses on a specific set of enabling technologies for edge intelligence and smart IoT applications in the cloud/edge/IoT continuum. Furthermore, the fifth part provides information about complementary aspects of next-generation IoT technology, including information about business models and IoT skills. Specifically:

  • The first part focuses on 5G/6G networking technologies and their roles in implementing edge intelligence applications.
  • The second part presents IoT applications that employ machine learning and other forms of Artificial Intelligence at the edge of the network.
  • The third part illustrates decentralized IoT applications based on distributed ledger technologies.
  • The fourth part is devoted to the presentation of novel IoT applications and use cases spanning the cloud/edge/IoT continuum.
  • The fifth part discusses complementary aspects of IoT technologies, including business models and digital skills.
IoT, Internet of Things, Cloud Computing, Edge Computing, Artificial Intelligence, 5G, 6G, Blockchain, Distributed Ledger Technologies, AIoT, Machine Learning, Federated Learning, Tactile Intelligence


Edge Networking Technology Drivers for Next-generation Internet of Things in the TERMINET Project
by Athanasios Liatifis, Dimitrios Pliatsios, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Vasileios Vitsas, Nikolaos Katertsidis, Ioannis Moscholios, Sotirios Goudos, and Panagiotis Sarigiannidis


AI-driven Service and Slice Orchestration
by G. Bernini, P. Piscione, and E. Seder


Tactile IoT Architecture for the IoT–Edge–Cloud Continuum: The ASSIST-IoT Approach
by A. Fornes-Leal, I. Lacalle, C. E. Palau, P. Szmeja, M. Ganzha, F. Konstantinidis, and E. Garro


Federated Learning Models in Decentralized Critical Infrastructure
by Ilias Siniosoglou, Stamatia Bibi, Konstantinos-Filippos Kollias, George Fragulis, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Vasileios Vitsas, and Panagiotis Sarigiannidis


Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks
by Z. Anastasakis, S. Bourou, T. H. Velivasaki, A. Voulkidis, and D. Skias


Intelligent Management at the Edge
by Mohammadreza Mosahebfard, Claudia Torres-Pérez, Estela Carmona-Cejudo, Andrés Cárdenas Córdova, Adrián Pino Martínez, Juan Sebastian Camargo Barragan, Estefanía Coronado, and Muhammad Shuaib Siddiqui


IoT Things to Service Matchmaking at the Edge
by Nisrine Bnouhanna and Rute C. Sofia


A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers
by R. Griessl, F. Porrmann, N. Kucza, K. Mika, J. Hagemeyer, M. Kaiser, M. Porrmann, M. Tassemeier, M. Flottmann, F. Qararyah, M. Waqar, P. Trancoso, D. Ödman, K. Gugala, and G. Latosinski


Methods for Requirements Engineering, Verification, Security, Safety, and Robustness in AIoT Systems
by Marcelo Pasin, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni, Hans-Martin Heyn, Eric Knauss, Anum Khurshid, and Shahid Raza


Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT
by Eduardo Garro, Ignacio Lacalle, Karolina Bogacka, Anastasiya Danilenka, Katarzyna Wasielewska-Michniewska, Charalambos Tassakos, Anastasia Theodouli, Anastasia Kassiani Blitsi, Konstantinos Votis, Dimitrios Tzovaras, Marcin Paprzycki,and Carlos E. Palau


Achieving Security and Privacy in NG-IoT using Blockchain Techniques
by Vasiliki Kelli, Anna Triantafyllou, Panagiotis Radoglou-Grammatikis, Thomas Lagkas, Vasileios Vitsas, Panagiotis Fouliras, Igor Kotsiuba, and Panagiotis Sarigiannidis


Enabling Remote-controlled Factory Robots via Smart IoT Application Programming Interface
by Ivo Bizon Franco de Almeida, Rania Rojbi, Nuria Molner, and Carsten Weinhold


A Practical Deployment of Tactile IoT: 3D Models and Mixed Reality to Increase Safety at Construction Sites
by Piotr Sowi ´nski, Tina Katika, Fotios K. Konstantinidis, Anna Dabrowska, Ignacio Lacalle, Angelos Amditis, Carlos E. Palau, and Marcin Paprzycki


Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving
by Raul Lozano, Miguel Cantero, Manuel Fuentes, Jaime Ruiz, Ignacio Benito, and David Gomez-Barquero


The EFPF Approach to Manufacturing Applications Across Edge-cloud Architectures
by Rute C. Sofia, Carlos Coutinho, Gabriele Scivoletto, Gianluca Insolvibile, Rohit A. Deshmukh, A. Schneider, Violeta Damjanovic-Behrendt, Fernando Gigante, Usman Wajid, Alexandros Nizamis, Dimosthenis Ioannidis, and Theofilos Mastos


Digital Business IoT Maturity Patterns from EU-IoT Ecosystem
by Parwinder Singh, Michail Beliatis, Emilie Mathilde Jakobsen, and Mirko Presser