1st Edition

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

Edited By Rute C. Sofia, John Soldatos Copyright 2024
    460 Pages 134 Color & 8 B/W Illustrations
    by River Publishers

    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.


    The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non-Commercial (CC-BY-NC)] 4.0 license.

    1. Edge Networking Technology Drivers for Next-generation Internet of Things in TERMINET Project

    2. AI-driven Service and Slice Orchestration

    3. Tactile IoT Architecture for the IoT–Edge–Cloud Continuum: The ASSIST-IoT Approach

    4. Machine Learning (ML) as a Service (MLaaS): Enhancing IoT with Intelligence with Adaptive Online Deep and Reinforcement Learning, Model Sharing and Zero-Knowledge Model Verification

    5. Federated Learning Models in a Decentralized Critical Infrastructure

    6. Analysis of Privacy Preservation Enhancements in Federated Learning Frameworks

    7. Intelligent Management at the Edge

    8. IoT Thing to Service Matchmaking at the Edge

    9. A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT Based on Microservers

    10. Methods for Requirements Engineering, Verification, Security, Safety and Robustness in AIoT systems

    11. Decentralized Strategy for Artificial Intelligence in Distributed IoT Ecosystems: Federation in ASSIST-IoT

    12. Achieving Security and Privacy in NG-IoT Using Blockchain Techniques

    13. Enabling Remote Controlled Factory Robots via a Smart IoT Application Programming Interface

    14. A Practical Deployment of Tactile IoT: 3D Models and Mixed Reality to Increase Safety at Construction Sites

    15. Haptic and Mixed Reality Enabled Immersive Cockpits for Tele-operated Driving

    16. The EFPF Approach to Manufacturing Applications Across Edge–Cloud Architectures

    17. The EU-IoT Skills Framework for IoT Training and Career Development Processes

    18. Digital Business IoT Maturity Patterns from an EU-IoT Ecosystem


    Rute C. Sofia (Ph.D. 2004) is the Industrial IoT Head at fortiss – research institute of the Free State of Bavaria for software intensive services and systems. She is also an Invited Associate Professor of University Lusófona de Humanidades e Tecnologias, and an Associate Researcher at ISTAR, Instituto Universitário de Lisboa. Rute's research background has been developed in an industrial and academic context. She was a co-founder of the COPELABS research unit, and the COPELABS scientific director (2013–2017), where she was a Senior Researcher (2010–2019). She co-founded the Portuguese startup Senception Lda (2013–2019), a startup focused on personal communication platforms. Her current research interests are: network architectures and protocols; IoT; Edge computing; in-network computing; network mining. Rute has published over 70 peer-reviewed articles in her fields of expertise and 9 patents. She is an ACM Europe Councilor, an ACM Senior member, and an IEEE Senior Member. She was an IEEE ComSoc N2Women Awards co-chair (2020–2021). She is also a member of the Expert Group of the Networld ETP.

    John Soldatos (http://gr.linkedin.com/in/johnsoldatos) holds a Ph.D. in Electrical & Computer Engineering from the National Technical University of Athens (2000), is an Honorary Research Fellow at the University of Glasgow, UK (2014–present), and an Innovation Delivery Specialist with Netcompany-Intrasoft. He has significant experience in working closely with large multi-national industries as R&D consultant and delivery specialist, while being scientific advisor to high-tech startup enterprises. Dr. Soldatos is an expert in Internet-of-Things (IoT) technologies and applications. He has played a leading role in the successful delivery of more than seventy projects, for both private and public sector organizations, including complex integrated projects. He is co-founder of the open source platform OpenIoT. He has published more than 200 articles in international journals and conference proceedings. He has co-edited and co-authored seven edited volumes (books) on IoT and Artificial Intelligence (AI) related topics.