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

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 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.

本書專注於人工智慧物聯網（AIoT）網路的新標準、技術和通訊系統。智能和智慧型通訊網路因結合人工智慧和物聯網網路以改善人機介面、增強數據處理和服務而受到重視。AIoT網路涉及從環境中的多個設備和感測器節點收集數據。人工智慧可以增強這些網路，使其更快、更環保、更智能和更安全。計算機視覺、語言處理和語音識別是AIoT網路的一些例子。

由於當今世界上設備的數量眾多，高效智能的數據處理對於解決問題和做出決策至關重要。人工智慧可以增加這些網路的價值，並促進智能和學習能力，特別是在家庭、辦公室和城市中。然而，在部署AIoT網路時也面臨著一些挑戰，如可擴展性、複雜性、準確性和韌性。此外，這些網路還與雲端、5G網路和區塊鏈方法整合以提供服務。已提出許多不同的解決方案來解決與機器和深度學習方法、基於本體論的方法、遺傳算法和模糊系統相關的問題。

本書旨在為AIoT網路的最新技術、應用、服務、標準、架構和安全提供現有解決方案。本書還介紹了一些新的AIoT網路架構和模型。

Dr Kashif Naseer Qureshi is currently working as Associate Professor in the Department of Electronic and Computer Engineering at the University of Limerick. Kashif received his Ph.D. Degree from University Teknologi Malaysia (UTM), Master in Computer Science (MCS) and Master in Information Technologies (MSIT) degrees. His name is included in the top 2% of scientists in the world from Stanford University, USA. He received the best researcher awards from 2020 to 2022. He has fourteen years of teaching and research experience in leading academic institutes and published around 170 articles in reputed International Journals.

Prof. Thomas Newe is an Associate Professor in Cyber Security in the Department of Electronic & Computer Engineering at The University of Limerick and is a Principal Investigator in the SFI Smart Manufacturing Centre, Confirm and a Funded Investigator in the SFI Centers; Lero-Software Research Centre, and MaREI-Marine and Renewable Energy Research Centre. He holds a B.Eng. in Computer Engineering, a Master in Engineering in Security Protocol Design, and a Ph.D. in Formal Logic for Security Protocol Verification. He has been a University of Limerick faculty member since 1994.

Dr Kashif Naseer Qureshi目前在愛爾蘭利默里克大學的電子與電腦工程系擔任副教授。Kashif獲得了馬來西亞理工大學的博士學位，以及計算機科學碩士和資訊技術碩士學位。他的名字被列入了美國斯坦福大學全球前2%的科學家名單中。他在2020年至2022年間獲得了最佳研究員獎。他在領先的學術機構擁有十四年的教學和研究經驗，並在知名國際期刊上發表了約170篇文章。

Prof. Thomas Newe是愛爾蘭利默里克大學電子與電腦工程系的網路安全副教授，也是SFI智慧製造中心Confirm的首席調查員，以及SFI中心Lero-軟體研究中心和MaREI-海洋與可再生能源研究中心的資助調查員。他擁有計算機工程學士學位、安全協議設計工程碩士學位和形式邏輯安全協議驗證博士學位。他自1994年以來一直是利默里克大學的教職員。