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Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution

By Sathio, Anwar Ali

Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution Business, Finance & Career

Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution

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Description
The convergence of Internet of Things (IoT), fog computing, and blockchain technology can be used to revolutionize energy efficiency and sustainability. The implementation of deep learning (DL) techniques may optimize the energy consumption of these interconnected systems. Thus, they can be used to create green, energy-efficient solutions for various industries, including smart cities, healthcare, finance, and industrial IoT (IIoT). Focusing on the energy efficiency and environmental impact of these technologies, they provide valuable insights into creating sustainable and scalable systems. Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution bridges the knowledge gap between traditional IoT and blockchain research and the emerging need for energy-efficient and green technologies. It influences future research directions, encourages collaboration across disciplines, and inspires innovations that prioritize sustainability. Covering topics such as software-defined networking (SDN), ecosystem conservation, and monitoring systems, this book is an excellent resource for computer scientists, policymakers, technologists, industry practitioners, engineers, environmentalists, sustainability advocates, professionals, researchers, scholars, academicians, and more.
Product details
Binding:
Paperback
Number of Pages:
480
Release Date:
2025-04-04
Publication Date:
2025-04-18
Publisher:
IGI Global
Languages:
Original: English
ISBN13:
9798337303017
Weight:
1196 g
Height:
216 cm
Width:
280 cm
Thickness:
26 cm
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