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
Editors:
Rute C. Sofia, fortiss GmbH, Germany
John Soldatos, Netcompany-Intrasoft, Luxembourg
ISBN: 9788770040273 (Hardback) 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.
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
Machine Learning (ML) as a Service
(MLaaS): Enhancing IoT with Intelligence,
Adaptive Online Deep and Reinforcement
Learning, Model Sharing, and
Zero-knowledge Model Verification
by Jorge Mira, Iván Moreno, Hervé Bardisbanian, and
Jesús Gorroñogoitia
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