Externally indexed torrent

If you are the original uploader, contact staff to have it moved to your account

Textbook in PDF format

This book presents Internet of Things (IoT) technology and security-related solutions that employ intelligent data processing technologies and Machine Learning (ML) approaches for data analytics. It presents practical scenarios from the industry for the application of the Internet of Things in various domains. Next Generation Communication Networks for Industrial Internet of Things Systems presents concepts and research challenges in communication networking for Industrial internet of things systems.
The notion of the Internet of Things develops an Internet environment in which numerous enabled heterogeneous items with varying intelligence and capacities are interconnected in various ways. It is impossible to overestimate the significance of heterogeneity and security in IoT-enabled networks. Due to the expansion and integration of IoT networks across businesses, massive data transfer and bandwidth consumption have become an issue. Consequently, researchers are faced with new challenges such as autonomous energy consumption, multimodal data processing, simple interaction between varied Internet devices, and effective Big Data analysis. A device capable of sharing data and communicating with other physical, digital, or electrical devices. The IoT domain’s connected devices consist mostly of sensors and actuators that are Internet-connected via cloud or fog architectures. When paired with a range of network protocols and access strategies, IoT applications create a communication environment that is both extremely promising and demanding. AIML and IoT collaborate to create the most potent digital solutions and to solve the most difficult business problems. Consequently, this book will also focus on IoT and AI/ML applications in diverse domains/perspectives.
This book will look at cutting-edge IoT technology and security solutions that employ intelligent data processing and Machine Learning (ML) methods. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how IoT, 5G, and Industrial IoT have changed the world in the field of communication networks.
This book aims to bring together academic and industrial researchers to investigate the potential for next-generation IoT, evaluate its impact on the solutions to the difficulties listed below, and provide viable solutions. This book also provides a solid basis for the essential concepts and principles of Industrial IoT and Next-Generation Communication Networks, expertly guiding the reader through the fundamental notions. It contains chapters that introduce and discuss fresh ideas regarding how Artificial Intelligence, Deep Learning, IoT, and machine learning have impacted the world in various sectors.
Features
Discusses process monitoring, environmental monitoring, control, and maintenance monitoring.
Covers data collection and communication protocols in a comprehensive manner.
Highlights the internet of things industrial applications, and industrial revolution 4.0.
Presents 5G-enabled internet of things technology and architecture.
Showcases Artificial Intelligence techniques in the IoT networks.
It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas of electrical engineering, electronics, and communications engineering, computer engineering, and information technology