Shaping the future of ioT with edge intelligence : how edge computing enables the next generation of ioT applications / editors, Rute C. Sofia, John Soldatos

Includes bibliographical references and index

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 Things 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.

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: 1. The first part focuses on 5G/6G networking technologies and their roles in implementing edge intelligence applications.2. The second part presents IoT applications that employ machine learning and other forms of Artificial Intelligence at the edge of the network.3. The third part illustrates decentralized IoT applications based on distributed ledger technologies.4. The fourth part is devoted to the presentation of novel IoT applications and use cases spanning the cloud/edge/IoT continuum.5. The fifth part discusses complementary aspects of IoT technologies, including business models and digital skills