Mahmoud Elkhodr – författare

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.

This book explores the integration of Generative Artificial Intelligence (GenAI), such as ChatGPT, into educational practices and research methodologies. With the potential to transform traditional learning environments, this book addresses both the opportunities and challenges that come with leveraging GenAI for enhancing teaching and learning experiences.This comprehensive guide delves into multiple aspects of GenAI in education. It covers critical topics such as project-based learning (PBL), personalized learning through AI, AI-driven student assessment, and the role of AI in special education. Furthermore, it examines ethical considerations, the readiness of students and teachers for AI technologies, and case studies on AI’s impact on student outcomes. With insights from educators, researchers, and practitioners from around the globe, the book provides a balanced perspective on both theoretical frameworks and practical implementation of GenAI technologies.Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. It is an essential reference for anyone interested in staying at the forefront of educational innovation and exploring the future possibilities of AI-empowered learning.

This book explores the integration of Generative Artificial Intelligence (GenAI), such as ChatGPT, into educational practices and research methodologies. With the potential to transform traditional learning environments, this book addresses both the opportunities and challenges that come with leveraging GenAI for enhancing teaching and learning experiences.This comprehensive guide delves into multiple aspects of GenAI in education. It covers critical topics such as project-based learning (PBL), personalized learning through AI, AI-driven student assessment, and the role of AI in special education. Furthermore, it examines ethical considerations, the readiness of students and teachers for AI technologies, and case studies on AI’s impact on student outcomes. With insights from educators, researchers, and practitioners from around the globe, the book provides a balanced perspective on both theoretical frameworks and practical implementation of GenAI technologies.Ideal for educators, researchers, and policymakers, this book serves as a practical resource for those looking to effectively integrate AI into their pedagogical and research efforts. It is an essential reference for anyone interested in staying at the forefront of educational innovation and exploring the future possibilities of AI-empowered learning.

This book offers a forward-looking analysis of emerging technologies converging in next-generation smart cities, examining both their opportunities and challenges. It explores the integration of AI, 6G networks, quantum computing, molecular communications, IoT, and IoNT through scenario-based analysis, highlighting AI-driven orchestration, blockchain, the metaverse, and advanced networking for urban resilience. It provides technical frameworks for Social IoT (SIoT), edge-cloud computing, and AI middleware, whilst addressing security challenges in quantum computing, AI, and molecular domains. The book concludes by discussing issues of security, privacy, ethical AI, and societal implications such as the digital divide, thereby offering a roadmap for the reader.This work offers key insights into the field of 6G-enabled IoT and blockchain systems. Firstly, the author expands the reader’s understanding by examining innovative applications. These applications are found in areas such as autonomous vehicles, smart cities, Industry 4.0, healthcare, and immersive technologies (holographic communications, IoNT), thus showcasing the transformative potential of 6G. This knowledge helps drive practical development for the accelerated deployment of 6G-enabled solutions across diverse sectors. Next is the analysis of security vulnerabilities, privacy concerns, and emerging threats at device and network levels, which is crucial for building robust and trustworthy 6G IoT systems. By providing insights into risk management and proactive measures, the book enables developers to address security challenges early in the design process. This enhanced security awareness and mitigation consideration fosters user trust and enables the widespread adoption of these systems in sensitive applications. The reader also learns about the complexities of network management, resource allocation, and how virtualisation in 6G IoT addresses critical challenges in building scalable and efficient interconnected systems. By examining standardisation efforts for interoperability and the development of a cohesive 6G ecosystem, the objective is to achieve improved network efficiency and scalability for widespread implementation.The audience for this book includes doctoral and master’s students in computer science, electrical engineering, urban planning, and related fields who are investigating how technologies such as AI, blockchain, IoT, and advanced communications can address complex urban challenges. The book may also be useful for research seminars and advanced courses exploring technological convergence in smart cities.

This book offers a forward-looking analysis of emerging technologies converging in next-generation smart cities, examining both their opportunities and challenges. It explores the integration of AI, 6G networks, quantum computing, molecular communications, IoT, and IoNT through scenario-based analysis, highlighting AI-driven orchestration, blockchain, the metaverse, and advanced networking for urban resilience. It provides technical frameworks for Social IoT (SIoT), edge-cloud computing, and AI middleware, whilst addressing security challenges in quantum computing, AI, and molecular domains. The book concludes by discussing issues of security, privacy, ethical AI, and societal implications such as the digital divide, thereby offering a roadmap for the reader.This work offers key insights into the field of 6G-enabled IoT and blockchain systems. Firstly, the author expands the reader’s understanding by examining innovative applications. These applications are found in areas such as autonomous vehicles, smart cities, Industry 4.0, healthcare, and immersive technologies (holographic communications, IoNT), thus showcasing the transformative potential of 6G. This knowledge helps drive practical development for the accelerated deployment of 6G-enabled solutions across diverse sectors. Next is the analysis of security vulnerabilities, privacy concerns, and emerging threats at device and network levels, which is crucial for building robust and trustworthy 6G IoT systems. By providing insights into risk management and proactive measures, the book enables developers to address security challenges early in the design process. This enhanced security awareness and mitigation consideration fosters user trust and enables the widespread adoption of these systems in sensitive applications. The reader also learns about the complexities of network management, resource allocation, and how virtualisation in 6G IoT addresses critical challenges in building scalable and efficient interconnected systems. By examining standardisation efforts for interoperability and the development of a cohesive 6G ecosystem, the objective is to achieve improved network efficiency and scalability for widespread implementation.The audience for this book includes doctoral and master’s students in computer science, electrical engineering, urban planning, and related fields who are investigating how technologies such as AI, blockchain, IoT, and advanced communications can address complex urban challenges. The book may also be useful for research seminars and advanced courses exploring technological convergence in smart cities.

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.