Future Fixed And Mobile Broadband Internet Clouds And Iot Ai

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Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI

Toni Janevski
Future Fixed and Mobile Broadband Internet Clouds and IoT AI Book PDF

Author : Toni Janevski
Publisher : John Wiley & Sons
Page : 357 pages
File Size : 51,8 Mb
Release : 2024-05-21
Category : Technology & Engineering
ISBN : 9781394187966

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Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI by Toni Janevski Pdf

FUTURE FIXED AND MOBILE BROADBAND INTERNET, CLOUDS, AND IoT/AI All-in-one resource on the development of Internet and telecoms worldwide, based on the technological frameworks as defined by the ITU Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI is a highly comprehensive resource that provides full coverage of existing and future fixed and mobile broadband networks, internet, and telecom and OTT services. This book explains how to perform technical, business, and regulatory analysis for future 5G-Advanced, 6G, WiFi, and optical access. This book also covers optical transport, submarine cable, future satellite broadband, cloud computing, massive and critical IoT and frameworks and use of AI / ML in telecommunications. Topics covered include: Internet technologies, IPv6, QUIC, DNS, IPX, QoS in Internet/IP, cybersecurity, future Internet 2030, Internet governance Future metallic and optical broadband, carrier-grade Ethernet, SD-WAN, OTN, submarine cable, satellite broadband, business and regulation of broadband Future mobile and wireless broadband, 5G-Advanced, 5G/6G spectrum management, 5G Non-Terrestrial Networks, QoS, 6G/IMT-2030, WiFi 7 (802.11.be), mobile business and regulatory aspects Cloud computing architectures and service models, MLaaS, BaaS, future OTT and telecom cloud services, business and regulation of clouds Future voice, future TV, XR/AR/VR, critical IoT/AI services, future OTT services, metaverse, network neutrality, future digital economy and markets Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI is an essential reference for government officials and regulators, business leaders, engineers, managers, and employees in the telecommunications industry, ICT business professionals, and students in telecommunications.

Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI

Toni Janevski
Future Fixed and Mobile Broadband Internet Clouds and IoT AI Book PDF

Author : Toni Janevski
Publisher : John Wiley & Sons
Page : 357 pages
File Size : 52,5 Mb
Release : 2024-04-08
Category : Technology & Engineering
ISBN : 9781394187980

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Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI by Toni Janevski Pdf

FUTURE FIXED AND MOBILE BROADBAND INTERNET, CLOUDS, AND IoT/AI All-in-one resource on the development of Internet and telecoms worldwide, based on the technological frameworks as defined by the ITU Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI is a highly comprehensive resource that provides full coverage of existing and future fixed and mobile broadband networks, internet, and telecom and OTT services. This book explains how to perform technical, business, and regulatory analysis for future 5G-Advanced, 6G, WiFi, and optical access. This book also covers optical transport, submarine cable, future satellite broadband, cloud computing, massive and critical IoT and frameworks and use of AI / ML in telecommunications. Topics covered include: Internet technologies, IPv6, QUIC, DNS, IPX, QoS in Internet/IP, cybersecurity, future Internet 2030, Internet governance Future metallic and optical broadband, carrier-grade Ethernet, SD-WAN, OTN, submarine cable, satellite broadband, business and regulation of broadband Future mobile and wireless broadband, 5G-Advanced, 5G/6G spectrum management, 5G Non-Terrestrial Networks, QoS, 6G/IMT-2030, WiFi 7 (802.11.be), mobile business and regulatory aspects Cloud computing architectures and service models, MLaaS, BaaS, future OTT and telecom cloud services, business and regulation of clouds Future voice, future TV, XR/AR/VR, critical IoT/AI services, future OTT services, metaverse, network neutrality, future digital economy and markets Future Fixed and Mobile Broadband Internet, Clouds, and IoT/AI is an essential reference for government officials and regulators, business leaders, engineers, managers, and employees in the telecommunications industry, ICT business professionals, and students in telecommunications.

Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science

Inam Ullah,Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Salma El Hajjami
Future Communication Systems Using Artificial Intelligence Internet of Things and Data Science Book PDF

Author : Inam Ullah,Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Salma El Hajjami
Publisher : CRC Press
Page : 317 pages
File Size : 55,6 Mb
Release : 2024-06-14
Category : Computers
ISBN : 9781040039533

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Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science by Inam Ullah,Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Salma El Hajjami Pdf

Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems. The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data‐centric society of the future. New applications are increasingly reliant on machine‐to‐machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self‐optimization for the task at hand while ensuring high dependability and ultra‐low latency. Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision‐making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required. AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi‐agent systems and network ultra‐broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.

Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions

Jie Gao,Mushu Li,Weihua Zhuang
Connectivity and Edge Computing in IoT Customized Designs and AI based Solutions Book PDF

Author : Jie Gao,Mushu Li,Weihua Zhuang
Publisher : Springer Nature
Page : 177 pages
File Size : 46,9 Mb
Release : 2021-11-25
Category : Computers
ISBN : 9783030887438

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Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions by Jie Gao,Mushu Li,Weihua Zhuang Pdf

This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions. The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this book can help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.

Towards the Integration of IoT, Cloud and Big Data

Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Towards the Integration of IoT Cloud and Big Data Book PDF

Author : Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar
Publisher : Springer Nature
Page : 164 pages
File Size : 44,8 Mb
Release : 2023-10-23
Category : Technology & Engineering
ISBN : 9789819960347

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Towards the Integration of IoT, Cloud and Big Data by Vinay Rishiwal,Pramod Kumar,Anuradha Tomar,Priyan Malarvizhi Kumar Pdf

This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Kai Hwang,Min Chen
Big Data Analytics for Cloud IoT and Cognitive Computing Book PDF

Author : Kai Hwang,Min Chen
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 44,6 Mb
Release : 2017-08-14
Category : Computers
ISBN : 9781119247029

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Big-Data Analytics for Cloud, IoT and Cognitive Computing by Kai Hwang,Min Chen Pdf

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Networks of the Future

Mahmoud Elkhodr,Qusay F. Hassan,Seyed Shahrestani
Networks of the Future Book PDF

Author : Mahmoud Elkhodr,Qusay F. Hassan,Seyed Shahrestani
Publisher : CRC Press
Page : 764 pages
File Size : 51,6 Mb
Release : 2017-10-16
Category : Computers
ISBN : 9781351651561

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Networks of the Future by Mahmoud Elkhodr,Qusay F. Hassan,Seyed Shahrestani Pdf

With the ubiquitous diffusion of the IoT, Cloud Computing, 5G and other evolved wireless technologies into our daily lives, the world will see the Internet of the future expand ever more quickly. Driving the progress of communications and connectivity are mobile and wireless technologies, including traditional WLANs technologies and low, ultra-power, short and long-range technologies. These technologies facilitate the communication among the growing number of connected devices, leading to the generation of huge volumes of data. Processing and analysis of such "big data" brings about many opportunities, as well as many challenges, such as those relating to efficient power consumptions, security, privacy, management, and quality of service. This book is about the technologies, opportunities and challenges that can drive and shape the networks of the future. Written by established international researchers and experts, Networks of the Future answers fundamental and pressing research challenges in the field, including architectural shifts, concepts, mitigation solutions and techniques, and key technologies in the areas of networking. The book starts with a discussion on Cognitive Radio (CR) technologies as promising solutions for improving spectrum utilization, and also highlights the advances in CR spectrum sensing techniques and resource management methods. The second part of the book presents the latest developments and research in the areas of 5G technologies and Software Defined Networks (SDN). Solutions to the most pressing challenges facing the adoption of 5G technologies are also covered, and the new paradigm known as Fog Computing is examined in the context of 5G networks. The focus next shifts to efficient solutions for future heterogeneous networks. It consists of a collection of chapters that discuss self-healing solutions, dealing with Network Virtualization, QoS in heterogeneous networks, and energy efficient techniques for Passive Optical Networks and Wireless Sensor Networks. Finally, the areas of IoT and Big Data are discussed, including the latest developments and future perspectives of Big Data and the IoT paradigms.

Convergence of Artificial Intelligence and the Internet of Things

George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Convergence of Artificial Intelligence and the Internet of Things Book PDF

Author : George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Publisher : Springer Nature
Page : 446 pages
File Size : 54,9 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9783030449070

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Convergence of Artificial Intelligence and the Internet of Things by George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis Pdf

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Artificial Intelligence-based Internet of Things Systems

Souvik Pal,Debashis De,Rajkumar Buyya
Artificial Intelligence based Internet of Things Systems Book PDF

Author : Souvik Pal,Debashis De,Rajkumar Buyya
Publisher : Springer Nature
Page : 509 pages
File Size : 45,7 Mb
Release : 2022-01-11
Category : Technology & Engineering
ISBN : 9783030870591

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Artificial Intelligence-based Internet of Things Systems by Souvik Pal,Debashis De,Rajkumar Buyya Pdf

The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Intelligent Internet of Things Networks

Haipeng Yao,Mohsen Guizani
Intelligent Internet of Things Networks Book PDF

Author : Haipeng Yao,Mohsen Guizani
Publisher : Springer Nature
Page : 413 pages
File Size : 49,7 Mb
Release : 2023-06-09
Category : Computers
ISBN : 9783031269875

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Intelligent Internet of Things Networks by Haipeng Yao,Mohsen Guizani Pdf

This book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks. This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well. The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance. This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book.

Heterogenous Computational Intelligence in Internet of Things

Pawan Singh,Prateek Singhal,Pramod Kumar Mishra,Avimanyou K. Vatsa
Heterogenous Computational Intelligence in Internet of Things Book PDF

Author : Pawan Singh,Prateek Singhal,Pramod Kumar Mishra,Avimanyou K. Vatsa
Publisher : CRC Press
Page : 376 pages
File Size : 41,8 Mb
Release : 2023-10-23
Category : Computers
ISBN : 9781000967944

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Heterogenous Computational Intelligence in Internet of Things by Pawan Singh,Prateek Singhal,Pramod Kumar Mishra,Avimanyou K. Vatsa Pdf

We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT, edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization, there are still domain-specific challenges that require further study, including the design of adequate DNN architectures with 5G network optimization issues, resource discovery and allocation, developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective.

Internet of Things

Kolla Bhanu Prakash
Internet of Things Book PDF

Author : Kolla Bhanu Prakash
Publisher : Walter de Gruyter GmbH & Co KG
Page : 174 pages
File Size : 49,6 Mb
Release : 2020-10-26
Category : Computers
ISBN : 9783110677737

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Internet of Things by Kolla Bhanu Prakash Pdf

This book explains the fundamentals of the Internet of Things – from different architectures for managing IoT platforms to the insights on trust, security, and privacy in IoT environments, including consumer electronic devices or home applications. This opens the doors to new innovations that will build novel interactions among things and humans, and enables the realization of smart cities, infrastructures, and services. The book presents a complete overview on the research and the technology of this rapidly emerging topic.

Integration of Cloud Computing with Internet of Things

Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Integration of Cloud Computing with Internet of Things Book PDF

Author : Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty
Publisher : John Wiley & Sons
Page : 386 pages
File Size : 46,7 Mb
Release : 2021-04-13
Category : Computers
ISBN : 9781119768876

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Integration of Cloud Computing with Internet of Things by Monika Mangla,Suneeta Satpathy,Bhagirathi Nayak,Sachi Nandan Mohanty Pdf

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Mobile Edge Computing

Anwesha Mukherjee,Debashis De,Soumya K. Ghosh,Rajkumar Buyya
Mobile Edge Computing Book PDF

Author : Anwesha Mukherjee,Debashis De,Soumya K. Ghosh,Rajkumar Buyya
Publisher : Springer Nature
Page : 598 pages
File Size : 46,5 Mb
Release : 2021-11-18
Category : Computers
ISBN : 9783030698935

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Mobile Edge Computing by Anwesha Mukherjee,Debashis De,Soumya K. Ghosh,Rajkumar Buyya Pdf

Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of mobile network. For low latency and high bandwidth services, edge computing assisted IoT (Internet of Things) has become the pillar for the development of smart environments and their applications such as smart home, smart health, smart traffic management, smart agriculture, and smart city. This book covers the fundamental concept of the MEC and its real-time applications. The book content is organized into three parts: Part A covers the architecture and working model of MEC, Part B focuses on the systems, platforms, services and issues of MEC, and Part C emphases on various applications of MEC. This book is targeted for graduate students, researchers, developers, and service providers interested in learning about the state-of-the-art in MEC technologies, innovative applications, and future research directions.

Shaping the Future of IoT with Edge Intelligence

Rute C. Sofia,John Soldatos
Shaping the Future of IoT with Edge Intelligence Book PDF

Author : Rute C. Sofia,John Soldatos
Publisher : CRC Press
Page : 376 pages
File Size : 54,9 Mb
Release : 2024-01-08
Category : Computers
ISBN : 9781003812180

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Shaping the Future of IoT with Edge Intelligence by Rute C. Sofia,John Soldatos Pdf

This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the edge of the cloud/edge/IoT continuum. Emphasis is placed on presenting how these technologies support a wide array of functional and non-functional requirements spanning latency, performance, cybersecurity, data protection, real-time performance, energy efficiency, and more. The various chapters of the book are contributed by several EU-funded projects, which have recently developed novel IoT platforms that enable the development and deployment of edge intelligence applications based on the cloud/edge paradigm. Each one of the projects employs its own approach and uses a different mix of networking, middleware, and IoT technologies. Therefore, each of the chapters of the book contributes a unique perspective on the capabilities of enabling technologies and their integration in practical real-life applications in different sectors. The book is structured in five distinct parts. Each one of the first four parts focuses on a specific set of enabling technologies for edge intelligence and smart IoT applications in the cloud/edge/IoT continuum. Furthermore, the fifth part provides information about complementary aspects of next-generation IoT technology, including information about business models and IoT skills. Specifically: The first part focuses on 5G/6G networking technologies and their roles in implementing edge intelligence applications. The second part presents IoT applications that employ machine learning and other forms of Artificial Intelligence at the edge of the network. The third part illustrates decentralized IoT applications based on distributed ledger technologies. The fourth part is devoted to the presentation of novel IoT applications and use cases spanning the cloud/edge/IoT continuum. The fifth part discusses complementary aspects of IoT technologies, including business models and digital skills.