Название: Internet of Things: Theory to Practice
Автор: Pramod R. Gunjal, Satish R. Jondhale, Jaime Lloret, Karishma Agrawal
Издательство: CRC Press
Год: 2024
Страниц: 410
Язык: английский
Формат: pdf (true)
Размер: 12.2 MB

This book addresses the fundamental technologies, architectures, application domains, and future research directions of the Internet of Things (IoT). It also discusses how to create your own IoT system according to applications requirements, and it presents a broader view of recent trends in the IoT domain and open research issues. This book encompasses various research areas such as wireless networking, advanced signal processing, IoT, and ubiquitous computing. Internet of Things: Theory to Practice discusses the basics and fundamentals of IoT and real-time applications, as well as the associated challenges and open research issues. The book includes several case studies about the use of IoT in day-to-day life. The authors review various advanced computing technologies—such as cloud computing, fog computing, edge computing, and Big Data analytics—that will play crucial roles in future IoT-based services. The book provides a detailed role of blockchain technology, Narrowband IoT (NB-IoT), wireless body area network (WBAN), LoRa (a longrange low power platform), and Industrial IoT (IIoT) in the 5G world. This book is intended for university/college students, as well as amateur electronic hobbyists and industry professionals who are looking to stay current in the IoT domain.

Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility. Python has been a widely used programming language in various domains, including web development, data analysis, scientific computing, AI, and of course, IoT. Python offers several advantages compared to other programming languages in the IoT domain, making it a popular choice among developers. For instance, Python is known for its simplicity and readability, making it easy for developers to write and understand code. Its clean syntax and straightforward structure allow programmers to quickly prototype and develop IoT applications. This simplicity reduces the learning curve for beginners and enables faster development cycles. Python’s simplicity, community support, platform independence, data analytics capabilities, rapid prototyping, connectivity, and extensive documentation make it an excellent choice for IoT development. Its ease of use, versatility, and robust ecosystem contribute to faster development cycles, efficient data processing, and seamless integration within the IoT ecosystem.

Being an interpreted language, Python enables immediate execution of code, facilitating quick prototyping and development cycles. Moreover, Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, offering flexibility in coding approaches. Python also has robust libraries and frameworks for data analytics and Machine Learning, such as NumPy, Pandas, and TensorFlow. These tools enable IoT developers to process and analyze the vast amounts of data generated by IoT devices. Python’s integration with Machine Learning and AI allows for advanced data processing, predictive modeling, and decision-making capabilities in IoT applications.