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Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication Systems

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Автор: Limpopo5 от 2024-03-17, 00:54:11
Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication SystemsНазвание: Artificial Intelligence of Things (AIoT): New Standards, Technologies and Communication Systems
Автор: Каshif Nаsееr Qurеshi, Тhоmаs Nеwе
Издательство: CRC Press
Год: 2024
Страниц: 231
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks.

Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems.

This book suggests two parts of security fundamentals: Part I—Artificial Intelligence Evolution in Internet of Things Networks and Its Fundamental Concepts, and Part II—Data Communication Systems for AIoT Networks. These security fundamentals go beyond theoretical concepts, equipping readers with the necessary knowledge and tools to proactively address different areas of AIoT. The book explores cutting-edge technologies, such as Artificial Intelligence and blockchain, and their application in enhancing AIoT security. It emphasizes the importance of adopting a holistic approach to cybersecurity, encompassing not only technical measures but also organizational policies, user awareness, and regulatory frameworks. As the digital landscape continues to evolve, AI becomes paramount. The interconnected nature of the AIoT presents both immense opportunities and profound risks.

AI is categorized into two main types: narrow and general. The narrow AI performs specific tasks within limited domains like virtual personal assistance, image recognition, and recommendation systems. Popular examples of narrow AI are Siri and Alexa. On the other hand, general AI provides strong Artificial General Intelligence (AGI) which is able to perform any task that human beings can do. AGI functions like human intelligence to perform tasks, to understand and learn, and to apply this intelligence in different domains. Machine Learning (ML) methods are involved to train models and perform tasks such as predict and data analysis. Some other AI methods are natural language processing, robotics, expert systems, and computer vision. The AI methods are useful to improve the industry’s processes, decision-making, fast automation, and solve complex challenges.

Artificial Internet of Things (AIoT) is a new concept where Machine Learning and Deep Learning technologies meet the new application requirements in real-time manners. IoT network devices have limited resources in terms of storage, energy, and processing capabilities. These constraints increase the different Quality of Service (QoS) challenges and issues. The combination of AI and IoT enhances the sensing and communication services to achieve high performance. The intelligence is used at macro and micro levels in AIoT networks. This intelligence starts with self-driving to control home appliances. In AIoT networks, several smart devices, sensor nodes, data storage devices, and data processing capabilities are interconnected with cloud and edge networks.

This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.

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