Modern communication technologies such as 5G and 6G and the industrial internet of things have important attributes to meet the requirements of industries, and with the rapid development of the fourth industrial revolution and beyond, it is unavoidable that these will fulfill the necessary requirements of this important part of modernization. Opportunities and Challenges of Industrial IoT in 5G and 6G Networks ranges from the application of recently ratified communication standards, theoretical knowledge that provides tangible insight for understanding the principles of operation, design, implementation, and planning, to the outcomes from deployment of industrial projects. Covering topics such as 5G network programmability, industry policies, and optical networking technologies, this premier reference source is a valuable resource for computer scientists, IT specialists, industry consultants and professionals, business leaders, libraries, students, researchers, and academicians.

Modern communication technologies such as 5G and 6G and the industrial internet of things have important attributes to meet the requirements of industries, and with the rapid development of the fourth industrial revolution and beyond, it is unavoidable that these will fulfill the necessary requirements of this important part of modernization. Industrial Applications of the Internet of Things and 5G and 6G Networks ranges from the application of recently ratified communication standards, theoretical knowledge that provides tangible insight for understanding the principles of operation, design, implementation, and planning, to the outcomes from deployment of industrial projects. Covering topics such as 5G network programmability, industry policies, and optical networking technologies, this premier reference source is a valuable resource for computer scientists, IT specialists, industry consultants and professionals, business leaders, libraries, students, researchers, and academicians.

The disruptive potential of technologies such as Artificial Intelligence (AI), blockchain, the Internet of Things (IoT), and biotechnology catalysts redefine traditional business models and serve as instrumental forces in attracting venture capital investments. The lower barriers to entry, facilitated by these disruptive technologies, empower entrepreneurs to bring their ideas to market, creating a more accessible landscape for funding and innovation. Fostering Innovation in Venture Capital and Startup Ecosystems explores this transformative intersection, where emerging technologies catalyze change, fuel innovation, and redefine the dynamics of financial investments and entrepreneurial endeavors. Moreover, the book delves into how embracing AI, IoT, blockchain, and augmented reality/virtual reality can expedite innovation, enhance efficiency, and scale businesses. Through a multidisciplinary lens, readers understand how these technologies influence established markets, drive economic growth, and create job opportunities. This book is ideal for venture capitalists, angel investors, entrepreneurs, startup founders, and policymakers.

Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow’s communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network. This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.

This book provides a comprehensive overview of the most relevant research and standardization results in the area of wireless networking for Industrial IoT, covering both critical and massive connectivity. Most chapters in this book are intended to serve as short tutorials of particular topics, highlighting the main developments and ideas, as well as giving an outlook of the upcoming research challenges. The book is divided into four parts. The first part focuses on challenges, enablers and standardization efforts for reliable low-latency communication in Industrial IoT networks. The next part focuses on massive IoT, which requires cost- and energy-efficient technology components to efficiently connect a massive number of low-cost IoT devices. The third part covers three enabling technologies in the context of Industrial IoT: Security, Machine Learning/Artificial Intelligence and Edge Computing. These enablers are applicable to both connectivity types, critical and massive IoT. The last part covers aspects of Industrial IoT related to connected transportation that are important in, for example, warehouse and port logistics, product delivery and transportation among industries. Presents a comprehensive guide to concepts and research challenges in wireless networking for Industrial IoT; Includes an introduction and overview of such topics as 3GPP standardization for Industrial IoT, Time Sensitive Networking, system dependability over wireless networks, energy-efficient wireless networks, IoT security, ML/AI for Industrial IoT and connected transportation systems; Features contributions by well-recognized experts from both academia and industry.

Addressing resource depletion and environmental concerns for sustainable urban living, Smart Cities and Circular Economy unveils the transformative potential and challenges of integrating these ideas while emphasizing environmental, social, and economic benefits.

The book offers a critical exploration of the integration of AI, blockchain, and metaverse technology in the hospitality and tourism industry to investigate the potential of these technologies in revolutionizing the industry. This comprehensive work studies, with practical examples, how cutting-edge technologies of Industry 4.0 are transforming luxury industry into a high-touch, hyper-personalized metaverse. It explains how these technologies can be used to improve customer experience and operational efficiency in areas such as guest interaction, supply chain management, payment processing, and virtual stores. The book also discusses the conditions that can promote sustainable development in the hospitality industry using Industry 4.0 technologies. Provides an innovative perspective by blending high-tech trends like AI, blockchain, and metaverse with traditional wellness practices Emphasis on ethical considerations and potential risks associated with the use of these technologies, providing a balanced perspective on their impact Includes case studies and practical examples on how businesses can use AI, blockchain, and the metaverse to improve customer experiences and operational efficiency Explores how the hospitality industry can embrace Industry 4.0 technologies to improve its operations, enhance customer experiences, and contribute to sustainable development Provides a roadmap for companies looking to implement these technologies, highlighting potential benefits and pitfalls of each approach This reference book is for scholars and professionals in computer science who are interested in studying the effect of AI, blockchain, and metaverse in hospitality and tourism industry.