Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analyzed, and used to improve services and increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain.Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications.Explains how digital twins gather real world data to create a virtual model of a real world environmentDiscusses how the virtual model can be utilized in making informed decisions about the real world environmentConsiders the associated technologies that support digital twins, including blockchain, sensor networks, artificial intelligence, and machine learningExplores how digital twins can be used to monitor and improve real world services
Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analyzed, and used to improve services and increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain.Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications. - Explains how digital twins gather real world data to create a virtual model of a real world environment- Discusses how the virtual model can be utilized in making informed decisions about the real world environment- Considers the associated technologies that support digital twins, including blockchain, sensor networks, artificial intelligence, and machine learning- Explores how digital twins can be used to monitor and improve real world services
In an interconnected world, smart sensor networks offer a means of gathering data from the internet of things, which can be analysed and utilised to make informed decisions in real world situations. Foundations of Smart Sensor Networks provides a comprehensive guide to understanding the concepts and applications of sensor network technology. This book presents the core concepts, principles, design and architectures of smart sensor networks, and their pivotal role in modern communication. It explores the innovative technologies that use artificial intelligence, machine learning and optimization algorithms for data collection and clustering, routing, security, and energy management. The TOC is structured in five sections, beginning with an introductory overview of smart sensor networks, including a guide to types of smart sensor networks. The second section delves into the fundamental principles of smart sensor networks, including a discussion of energy management, and security and privacy issues. Part Three considers how sensor networks can work with artificial intelligence. Part Four considers applications of smart sensor networks in the real world, for example for monitoring the environment and healthcare. The book closes with an exploration of the future opportunities and risks inherent in adopting smart sensor networks.Overall, Foundations of Smart Sensor Networks equips the reader with the knowledge needed to design, implement, and optimize smart sensor networks for a variety of applications.Explains how smart sensor networks gather real world data to create a virtual model of a real world environmentDiscusses the energy management and security issues around smart sensor networksConsiders how smart sensor networks work with artificial intelligenceExplores the applications of smart sensor networks, as well as future implications
Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analyzed, and used to improve services and increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain.Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications.Explains how digital twins gather real world data to create a virtual model of a real world environmentDiscusses how the virtual model can be utilized in making informed decisions about the real world environmentConsiders the associated technologies that support digital twins, including blockchain, sensor networks, artificial intelligence, and machine learningExplores how digital twins can be used to monitor and improve real world services
Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analyzed, and used to improve services and increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain.Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications. - Explains how digital twins gather real world data to create a virtual model of a real world environment- Discusses how the virtual model can be utilized in making informed decisions about the real world environment- Considers the associated technologies that support digital twins, including blockchain, sensor networks, artificial intelligence, and machine learning- Explores how digital twins can be used to monitor and improve real world services
In an interconnected world, smart sensor networks offer a means of gathering data from the internet of things, which can be analysed and utilised to make informed decisions in real world situations. Foundations of Smart Sensor Networks provides a comprehensive guide to understanding the concepts and applications of sensor network technology. This book presents the core concepts, principles, design and architectures of smart sensor networks, and their pivotal role in modern communication. It explores the innovative technologies that use artificial intelligence, machine learning and optimization algorithms for data collection and clustering, routing, security, and energy management. The TOC is structured in five sections, beginning with an introductory overview of smart sensor networks, including a guide to types of smart sensor networks. The second section delves into the fundamental principles of smart sensor networks, including a discussion of energy management, and security and privacy issues. Part Three considers how sensor networks can work with artificial intelligence. Part Four considers applications of smart sensor networks in the real world, for example for monitoring the environment and healthcare. The book closes with an exploration of the future opportunities and risks inherent in adopting smart sensor networks.Overall, Foundations of Smart Sensor Networks equips the reader with the knowledge needed to design, implement, and optimize smart sensor networks for a variety of applications.Explains how smart sensor networks gather real world data to create a virtual model of a real world environmentDiscusses the energy management and security issues around smart sensor networksConsiders how smart sensor networks work with artificial intelligenceExplores the applications of smart sensor networks, as well as future implications