Next Generation Communication Networks for Industrial Internet of Things Systems

This book discusses Internet of Things (IoT) technology and security-related solutions that employ intelligent data processing technologies and machine learning (ML) approaches for data analytics, with practical scenarios from the industry. It also covers communication networking for Industrial internet of things systems, highlighting 5G-enabled technology and architecture and artificial intelligence techniques. It is an ideal reference text for academic researchers and students in related areas.

Format: Hardback
Length: 220 pages
Publication date: 16 December 2022
Publisher: Taylor & Francis Ltd

The Internet of Things (IoT) is a rapidly evolving technology that has the potential to revolutionize various industries and enhance our daily lives. In this book, we delve into the realm of IoT technology and explore its applications in security and data analytics. We discuss the use of intelligent data processing technologies, such as machine learning (ML), to analyze and interpret data generated by IoT devices.

One of the key challenges in IoT security is the need for robust encryption and authentication mechanisms to protect sensitive data from unauthorized access. We explore various encryption algorithms and authentication protocols that can be used to secure IoT networks and devices.

Another important aspect of IoT security is the prevention of cyber-attacks and unauthorized access. We discuss various security measures, such as firewalls, intrusion detection systems, and identity and access management systems, that can be implemented to protect IoT systems from malicious actors.

In addition to security, IoT technology also enables data analytics and insights that can be used to optimize various processes and improve efficiency. We discuss the use of ML algorithms and data visualization tools to analyze large amounts of data generated by IoT devices and identify patterns and trends that can be used to improve decision-making and business processes.

The book also presents practical scenarios from the industry for the application of IoT in various domains, such as healthcare, transportation, and agriculture. We showcase how IoT devices can be used to monitor patients, track vehicles, and optimize crop yields, thereby improving patient outcomes, reducing transportation costs, and increasing agricultural productivity.

Furthermore, the book discusses the emerging technologies and architectures that are driving the development of IoT, such as 5G-enabled IoT technology and the Internet of Things Industrial Revolution 4.0. We explore how these technologies can enhance the speed, reliability, and scalability of IoT networks and enable new applications and services.

In conclusion, this book provides a comprehensive overview of IoT technology and its applications in security and data analytics. It serves 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. By exploring the latest developments in IoT technology and its applications, we can better understand the potential of this technology to transform our world and create a more connected and efficient future.
The Internet of Things (IoT) is a rapidly evolving technology that has the potential to revolutionize various industries and enhance our daily lives. In this book, we delve into the realm of IoT technology and explore its applications in security and data analytics. We discuss the use of intelligent data processing technologies, such as machine learning (ML), to analyze and interpret data generated by IoT devices.

One of the key challenges in IoT security is the need for robust encryption and authentication mechanisms to protect sensitive data from unauthorized access. We explore various encryption algorithms and authentication protocols that can be used to secure IoT networks and devices.

Another important aspect of IoT security is the prevention of cyber-attacks and unauthorized access. We discuss various security measures, such as firewalls, intrusion detection systems, and identity and access management systems, that can be implemented to protect IoT systems from malicious actors.

In addition to security, IoT technology also enables data analytics and insights that can be used to optimize various processes and improve efficiency. We discuss the use of ML algorithms and data visualization tools to analyze large amounts of data generated by IoT devices and identify patterns and trends that can be used to improve decision-making and business processes.

The book also presents practical scenarios from the industry for the application of IoT in various domains, such as healthcare, transportation, and agriculture. We showcase how IoT devices can be used to monitor patients, track vehicles, and optimize crop yields, thereby improving patient outcomes, reducing transportation costs, and increasing agricultural productivity.

Furthermore, the book discusses the emerging technologies and architectures that are driving the development of IoT, such as 5G-enabled IoT technology and the Internet of Things Industrial Revolution 4.0. We explore how these technologies can enhance the speed, reliability, and scalability of IoT networks and enable new applications and services.

In conclusion, this book provides a comprehensive overview of IoT technology and its applications in security and data analytics. It serves 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. By exploring the latest developments in IoT technology and its applications, we can better understand the potential of this technology to transform our world and create a more connected and efficient future.

Weight: 600g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032392653