IoT System Design: Project Based Approach

This book provides a comprehensive design approach for developing and implementing IoT systems, covering sensors, interfacing, embedded processors, wireless communication, data visualization, machine learning, and artificial intelligence. It is ideal for upper undergraduate, master, and PhD students, researchers, engineers, and practitioners.

Format: Paperback / softback
Length: 279 pages
Publication date: 28 September 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a detailed and systematic design approach for developing and implementing an IoT system, encompassing a wide range of components from sensors to embedded processors, wireless communication, data uploading to the cloud, data visualization, machine learning, and artificial intelligence. It is designed to serve as a valuable resource for individuals seeking a hands-on approach to designing and fabricating IoT systems, particularly for upper undergraduate, master, and PhD students, researchers, engineers, and practitioners.

The book begins by introducing the fundamental concepts and principles of IoT, including its applications, challenges, and opportunities. It then delves into the design process, covering topics such as sensor selection, data acquisition, interfacing, embedded processing, wireless communication protocols, and cloud integration.

Throughout the book, practical examples and case studies are provided to illustrate the theoretical concepts and demonstrate the real-world implementation of IoT systems. These examples range from simple home automation systems to complex industrial monitoring applications, showcasing the versatility and adaptability of IoT technology.

In addition to the technical aspects, the book also emphasizes the importance of security and privacy in IoT systems. It discusses various security protocols, encryption techniques, and authentication mechanisms to ensure the confidentiality and integrity of data transmitted and stored in the cloud.

Furthermore, the book explores the integration of machine learning and artificial intelligence into IoT systems. It discusses how these technologies can be used to analyze and interpret data, enable predictive maintenance, and enhance the overall functionality of IoT devices.

The book is organized into chapters, each covering a specific aspect of the design and implementation process. It includes detailed explanations, illustrations, and exercises to help readers grasp the concepts and apply them in their own projects.

In conclusion, this book provides a comprehensive and practical guide to developing and implementing IoT systems. It is ideal for students, researchers, engineers, and practitioners who want to gain a deep understanding of IoT technology and its applications. With its step-by-step approach, practical examples, and emphasis on real-world scenarios, it offers a valuable resource for anyone seeking to embark on IoT projects or advance their knowledge in this field.

Weight: 462g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030858650
Edition number: 1st ed. 2022