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Eco-Networking for IoT
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Eco-Networking for IoT : Designing Energy-Efficient Models to Enhance Network Performance

Book Details

Format Paperback / Softback
ISBN-10 886882316Y
ISBN-13 9798868823169
Publisher APress
Imprint APress
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 10th, 2026
Print length 440 Pages
Weight 674 grams
Dimensions 23.40 x 15.50 x 2.70 cms
Ksh 7,200.00
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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 scenariosWho Is This Book ForThis 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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