Next Generation Internet of Things Distributed Intelligence at the Edge and Human Machine to Machine Cooperation 1st edition by Ovidiu Vermesan ISBN B0BCXHF776 978-8770220088

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ISBN 10: B0BCXHF776
ISBN 13: 978-8770220088
Author:  Ovidiu Vermesan 

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.

Next Generation Internet of Things Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation 1st Table of contents:

Part I: Fundamentals of the Internet of Things (IoT)

Chapter 1: Introduction to the Internet of Things

• Defining IoT and its evolution

• Key components of IoT systems: devices, networks, and data

• The role of sensors, actuators, and embedded systems in IoT

Chapter 2: IoT Architectures and Ecosystems

• Traditional vs. next-generation IoT architectures

• Cloud-based vs. edge computing for IoT

• Interoperability and standards in IoT

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Part II: Edge Computing and Distributed Intelligence

Chapter 3: Introduction to Edge Computing

• What is edge computing and why is it important for IoT?

• Edge vs. cloud computing: benefits and challenges

• Edge devices, gateways, and the role of local computation

Chapter 4: Distributed Intelligence in IoT Systems

• Principles of distributed intelligence

• How distributed decision-making enhances IoT performance

• Examples of intelligent IoT applications (smart cities, autonomous vehicles)

Chapter 5: Architecting Distributed IoT Systems

• Design patterns for distributed intelligence at the edge

• Communication protocols and data exchange in distributed systems

• Real-world examples of distributed IoT systems

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Part III: Human-Machine Cooperation in IoT

Chapter 6: Human-Machine Interaction (HMI)

• Principles of human-machine cooperation

• User interfaces and usability in IoT systems

• The role of augmented reality (AR) and virtual reality (VR) in IoT

Chapter 7: Machine-to-Machine (M2M) Cooperation

• How M2M communication enables IoT scalability

• Standard communication protocols (e.g., MQTT, CoAP)

• Security and privacy in M2M communication

Chapter 8: AI and Machine Learning in Human-Machine Cooperation

• Leveraging AI for decision support in IoT systems

• How machine learning enhances M2M communication and cooperation

• Real-world applications of AI in IoT, such as predictive maintenance and smart health

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Part IV: Applications and Case Studies

Chapter 9: IoT in Smart Cities

• IoT for urban management and infrastructure

• Edge computing for real-time traffic monitoring and control

• IoT-powered smart grids and energy efficiency

Chapter 10: IoT in Healthcare

• Remote monitoring and telemedicine using IoT

• Edge-based medical devices for real-time diagnostics

• Data privacy and ethical issues in IoT healthcare systems

Chapter 11: Industrial IoT (IIoT) and Smart Manufacturing

• Industrial applications of edge computing and distributed intelligence

• IoT in supply chain management and predictive maintenance

• Case study: Smart factories and automation

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Part V: Challenges and Future Directions

Chapter 12: Security and Privacy in Next-Generation IoT

• Addressing the security challenges in edge computing and distributed IoT

• Privacy concerns in human-machine cooperation systems

• Best practices for securing IoT devices and data

Chapter 13: The Future of IoT and Edge Computing

• Emerging trends in IoT technologies (5G, AI, blockchain)

• The role of edge computing in the future of IoT systems

• Vision for a connected, intelligent, and autonomous world

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Appendices

• A. Glossary of IoT and Edge Computing Terms

• B. Resources for Further Learning

• C. References

• D. Index

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