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

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Anwar Ali Sathio Muhammad Malook Rind

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

Anwar Ali Sathio, Muhammad Malook Rind, Shafique Ahmed Awan , Allah Rakhio Junejo

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Hardback

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English

IGI Global
18 April 2025

Sustainability; Energy technology & engineering; Computer hardware

Summary
Details

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.

Edited by: Anwar Ali Sathio, Muhammad Malook Rind, Shafique Ahmed Awan, Allah Rakhio Junejo
Imprint: IGI Global
Dimensions: Height: 279mm, Width: 216mm, Spine: 27mm
Weight: 1.393kg
ISBN: 9798337303000
Pages: 385
Publication Date: 18 April 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active