Sharma / Pandey

Erschienen: 02.04.2026

Eco-Networking for IoT

Designing Energy-Efficient Models to Enhance Network Performance

Apress

ISBN 9798868823176

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46,99 €

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Bibliografische Daten

eBook. PDF. Weiches DRM (Wasserzeichen)

2026

59 s/w-Abbildungen.

In englischer Sprache

Umfang: 440 S.

Verlag: Apress

ISBN: 9798868823176

Produktbeschreibung

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.

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