Aiot: Artificial Intelligence of Things

AIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.

With a wide-ranging scope, the book covers various aspects of AIoT from fundamental concepts to advanced applications. It begins with an introduction to AI, IoT, and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include:

• Edge computing and AIoT
• Privacy and security in AIoT
• AIoT applications in such domains as healthcare, finance, and manufacturing.
• Smart cities and AIoT
• AIoT and wearables
• Ethical considerations concerning AIoT
• AIoT and augmented reality and virtual reality
• AIoT and blockchain
• AIoT and 5G technology.

The book presents such AIoT architectures as cloud-based, edge-based, and hybrid systems and discusses their advantages and challenges. Exploring the role of big data analytics in AIoT, it highlights how large-scale data collection and analysis can drive intelligent decision-making and predictive insights. It delves into such AI techniques employed in AIoT systems as natural language processing, computer vision, deep learning, and reinforcement learning.

The book concludes with a discussion of emerging trends and future directions in AIoT that includes the integration of blockchain technology, edge computing, and swarm intelligence. It also discusses the societal implications of AIoT and its effect on the job market, privacy, and ethics.

Dr. Arun Sekar Rajasekaran received his bachelor’s degree in Electronics and Communication engineering from Sri Ramakrishna Engineering College in 2008 and his master’s degree in VLSI Design in 2013 and his Doctor of Philosophy in Low Power VLSI design from Anna University, Chennai in 2019. He is currently working as an associate professor and associate head in the Department of Electronics and Communication Engineering at SR University, Warangal, Telangana. He has nearly 13 years of Teaching experience. He had published more than 27 papers in international conferences and 32 reputed SCIE Indexed Journals namely, IEEE Transactions on Industrial informatics, IEEE Transactions on Intelligent Transportation Systems, Springer, Elsevier, IET, IEEE Access and Wiley publications. His areas of interest are Low power VLSI design, Network security, Blockchain, Body area networks and Image processing. He is a life member of ISTE, IETE, ISRD and IEANG.

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is the advisor to the chairman of the board of trustees on AI and informatics at Near East University, Nicosia, Cyprus, and the associate dean for research at the faculty of engineering in the same university. Prof. Al-Turjman is the head of Artificial Intelligence Engineering Dept., and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). He is the founding director of the International Research Center for AI and IoT and the AI and Robotics Institute at Near East University. His publication history spans over 500 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 50 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. He has received several recognitions and best research awards at key international venues. Prof. Al-Turjman has led international conferences and workshops in flagship AI and IoT societies. Currently, he serves as book series editor and the lead guest and associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials, which has an impact factor of 23.9, and Elsevier’s Sustainable Cities and Society, which has an impact fact of 10.8), in addition to organizing international conferences and symposiums on the most up to date research topics in AI and IoT.

Suganyadevi S is an Assistant Professor in the department of ECE at KPR Institute of Engineering and Technology, Tamilnadu, India. She received a B.E. degree in Electronics and Communication Engineering from Anna University, Chennai, India in 2012 and the M.E. degree in VLSI Design from Anna University in 2014. Currently, she is pursuing her PhD from Anna University. She has published approximately 20 papers in international journals and conferences. She has contributed to more than 10 patents as well as more than 10 book chapters. She a reviewer for such journals as IEEE Transactions on Image Processing, Computers in Biology and Medicine (SCIE), Informatics in Medicine Unlocked (SCIE), The Imaging Science Journal (SCIE), The Journal of Super Computing (SCIE), International Journal of Computing and Digital Systems (SCIE), Concurrency and Computation: Practice and Experience (SCIE), Bulletin of Electrical Engineering and Informatics. She is a Life Member of ISTE. Her area of interest includes Machine learning, Signal Processing, Image Processing, Low power VLSI design, and Internet of Things.