The book focuses on the open challenges associated with the convergence of the Internet of Things and Artificial Intelligence, as accommodated in 6G architecture. The authors discuss how in many fields, such as Natural Language Processing (NLP), interactive computer games, robotics, and multiuser virtual environments, this convergence is likely to have enormously benefits, from artificial intelligence mimicking human intelligence, attempting to simulate human intelligence, and producing a new intelligent machine capable of processing information with human consciousness, behaviour, and thinking integrated with appropriate algorithms. The book provides users with the fundamentals of IoT architecture, AI technology, and the architecture of AI and IoT converged networks. Furthermore, to provide hands-on experience with the technology, some proposed systems are discussed, along with their applications in various sectors such as healthcare, transportation, smart homes, production, manufacturing, renewable energy and agriculture. The book will discuss new technological advances, current research trends, and industry requirements. Discussed open challenges in the field will motivate researchers and stakeholders in industry to provide solutions, with some presented in the book to help spark ideas.

Provides an insight into developing AI and IoT convergence techniques to meet industrial demands Presents an assessment of the convergence of AI and IoT, with a focus on applications, architectures Appropriate for industry professionals, health practitioners, healthcare workers, computer scientists

Autorentext

Pr****of. Marcel Ohanga Odhiambo obtained a BSc degree in Electrical Engineering from university of Nairobi in 1980, MSc in Microprocessor Technology and Applications from Brighton Polytechnic, UK in 1990 and PhD degree in Parallel and Distributed Computer Architecture from University of Surrey, UK in 1998. He joined Moi University as a Lecturer in the department of Electrical and Communications Engineering in 1992, rising to the post of Senior Lecturer in 2001. He joined Tshwane University of Technology, South Africa in 2004 as a Postdoctoral Fellow. In 2006, he joined the department of Electrical & Mining Engineering, University of South Africa (UNISA), South Africa as Senior Lecturer. He was appointed Associate Professor in the same department in January 2012. He was appointed an Associate Professor and Head: Department of Process Control & Computer Systems, Vaal University of Technology, South Africa since 1st December 2014. He retired from this post on 31st March 200. Prof. Odhiambo is currently a Research Professor, Faculty Engineering, Mangosuthu University of Technology, South Africa and a Visiting Adjunct Professor, Department of Electrical & Communications Engineering, Moi University.  Prof. Odhiambo is a Fellow of the Institution of Engineers and Technologists (IET), UK, Senior member of South African Institute of Electrical Engineers (SAIEE) and a member of the Institution of Engineers of Kenya (IEK). He is a Registered Engineer (REng): Engineers Registration Board of Kenya (EBK), a Chartered Engineer (CEng): Engineering Council (UK) and a Professional Engineer (PrEng): Engineering Council of South Africa (ECSA). Prof. Odhiambo research interest is in Computer Systems Architecture, Intelligent Agents, Communication Systems Architecture, Electronic Systems and Devices, Process Control/Instrumentation, Internet of Things (IoT), Artificial Intelligence. Prof. Odhiambo has supervised 19 postgraduate students tocompletion and 75 Book/Book chapter/journal/conference publications.

D****r. Weston Mwashita is with International University of Management in Namibia. He obtained a Bachelor of Technology degree in Electrical Engineering (Telecommunications) at the University of South Africa and went on to complete his Master of Technology degree in Electrical Engineering (Telecommunications) at the same university. He did his PhD degree in Electronics and Electrical Engineering at Vaal University of Technology in South Africa. He is a registered member of the South Africa Institute of Electrical Engineers, a member of Institute of Electrical and Electronics Engineers, a member of Namibia Engineering Council, an associate member of Engineering Professions of Namibia. He has authored several publications. His research focus areas are Internet of Things, Artificial Intelligence, Device-to-Device Communications, Green Cellular Networks and Wireless Sensor Networks.

Inhalt
Introduction.- Security and privacy issues of an IoT/IA 6G converged wireless network.- New IoT and AI applications driven by 6G.- Pervasive artificial intelligence.- Big data analytics.- THz communications.- Cell-free networks.- Quantum communications.- AI and machine learning an enabler of 6G technology.- Use cases in healthcare, smart grid, transport and Industry 4.0/5.0, smart cities, energy efficiency, smart homes automation.- Blockchain technology for the fulfilling of the requirements for massive 6G-based IoT/IA.- Blockchain's intrinsic properties enable academic bodies to detect academic fraud.- Autonomous Driving and V2V communications.- Unmanned area vehicles (UAVs) and drones.- IoT/IA and 6G convergence assists by offering a safe data sharing framework.- Conclusion. <p