Eco-Networking for IoT Designing Energy-Efficient Models to Enhance Network Performance
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Sprache:Englisch
Fr. 66.90
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
10.04.2026
Abbildungen
XVII, 59 illus., schwarz-weiss Illustrationen
Verlag
ApressSeitenzahl
440
Maße (L/B/H)
23.5/15.5/2.5 cm
Gewicht
692 g
Auflage
1. Auflage
Sprache
Englisch
EAN
9798868823169
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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