Learn to design IoT models focused on reducing energy consumption and increasing network performance. This book offers a complete approach towards construction of energy-efficient models on IoT for network optimization. It describes fundamental principles of IoT and networking to advanced energy-saving and data-rate-increasing techniques. The book provides strategies for minimizing energy consumption in IoT, allowing for highest possible reliability, scale, and performance from IoT networks.

We will start with basics of network protocols, data transmission, and energy consumption in IoT followed by architecture models, including low-power designs and adaptive systems. We will discuss low-power communication protocols, efficient data processing techniques, as well as network configurations and layouts for efficient IoT performance. Using AI to adaptively manage energy use will also be discussed. The book uses on practical examples, case studies, and code samples to help you learn.

On completion, you will have knowledge of designing an energy-efficient IoT, low-power network protocols, data processing methods for IoT, recent technologies for optimizing the energy consumption of an IoT use case in static and dynamic environment.

You Will

• Learn to implement low-power networking protocols in IoT applications

• Find out how to utilize energy-efficient hardware and software for data processing

• Explore advanced techniques, such as AI, for dynamic energy management

• Build resilient, energy-conscious IoT networks optimized for diverse application scenarios

Who Is This Book For

This book is for intermediate-level readers in IoT, network engineering, and environmental tech interested in specializing in green tech and power-efficient applications.

Table of Contents

Chapter 1: Introduction to loT and Green Networking

Chapter 2: Foundational Concepts of Energy- Efficient Networking

Chapter 3: Energy Efficient loT Architecture

Chapter 4: Hardware Optimization for lo T

Chapter 5: Lower-Power Communication Protocols

Chapter 6: Data Management Techniques in loT Using API

Chapter 7: Al-Based Power Management in loT

Chapter 8: Advanced loT Network Design Using AMQP, MQTT, Ktor and Retrofit

Chapter 9: Case Studies in Green loT

Chapter 10: Future Trends in Energy Efficient IOT Networking

Chapter 11: Security and Privacy in Green lo T Systems

Chapter 12: Scalable Solutions for Large-Scale loT Networks

About the Authors

Divya Sharma is Assistant Professor at Department of Computer Applications, GL Bajaj College of Technology and Management.

Dr. Sharma specializes in optimizing IoT networks for long-term stability and high levels of performance for communication among multiple connected devices. IEFUF solves some of the most challenging challenges to improve the efficiency and reliability of modern IoT networks with her innovative work.

Aside from her academic duties, Dr. Sharma partners with industry professionals to translate theoretical research into practical solutions and advances IoT applications in the real world. Her publications have appeared in top journals, and she has presented her research at national and international conferences.

Dr. Sharma is keen to contribute to IoT and play a part in positively impacting the future of technology.

Bishwajeet Kumar Pandey is a Professor at the Department of Intelligent System and Cyber Security, Astana IT University Kazakhstan. He is a senior member of IEEE, USA since 2019. He is also a visiting professor at Eurasian National University, Astana, Kazakhstan (QS World Rank 355) and UCSI University, Kuala Lumpur, Malaysia (QS World Rank 300). He is a research Fellow at the University of Sultan Zainul Abdin (UniSZA), Malaysia.

With over 15 years of experience, he has worked as a Research Consultant and Associate Visiting Professor. He has authored over 200 papers and published ten books. His interests include Green Computing, High-Performance Computing, Cyber-Physical Systems, Machine Learning, and Cyber Security.