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Energy-Efficient Computing and Communication - (Hardcover) - 1 of 1

Energy-Efficient Computing and Communication - (Hardcover)

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Highlights

  • Information and communication technology (ICT) is reponsible for up to 10% of world power consumption.
  • 116 Pages
  • Technology, General

Description



Book Synopsis



Information and communication technology (ICT) is reponsible for up to 10% of world power consumption. In particular, communications and computing systems are indispensable elements in ICT; thus, determining how to improve the energy efficiency in communications and computing systems has become one of the most important issues for realizing green ICT. Even though a number of studies have been conducted, most of them focused on one aspect-either communications or computing systems. However, salient features in communications and computing systems should be jointly considered, and novel holistic approaches across communications and computing systems are strongly required to implement energy-efficient systems. In addition, emerging systems, such as energy-harvesting IoT devices, cyber-physical systems (CPSs), autonomous vehicles (AVs), and unmanned aerial vehicles (UAVs), require new approaches to satisfy their strict energy consumption requirements in mission-critical situations. The goal of this Special Issue is to disseminate the recent advances in energy-efficient communications and computing systems. Review and survey papers on these topics are welcome. Potential topics include, but are not limited to, the following: - energy-efficient communications: from physical layer to application layer; - energy-efficient computing systems; - energy-efficient network architecture: through SDN/NFV/network slicing; - energy-efficient system design; - energy-efficient Internet of Things (IoT) and Industrial IoT (IIoT); - energy-efficient edge/fog/cloud computing; - new approaches for energy-efficient computing and communications (e.g., AI/ML and data-driven approaches); - new performance metrics on energy efficiency in emerging systems; - energy harvesting and simultaneous wireless information and power transfer (SWIPT); - smart grid and vehicle-to-grid (V2G); and - standardization and open source activities for energy efficient systems.

Dimensions (Overall): 9.61 Inches (H) x 6.69 Inches (W) x .44 Inches (D)
Weight: 1.0 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 116
Genre: Technology
Sub-Genre: General
Publisher: Mdpi AG
Format: Hardcover
Language: English
Street Date: June 18, 2020
TCIN: 1010783443
UPC: 9783039361489
Item Number (DPCI): 247-34-1402
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.44 inches length x 6.69 inches width x 9.61 inches height
Estimated ship weight: 1 pounds
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Q: Who is the intended audience for this hardcover book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book is suggested for readers aged 22 years and up, primarily targeting professionals and students in technology.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What types of systems does the book address regarding energy efficiency?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book addresses energy-efficient communications, computing systems, IoT devices, and autonomous systems.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What is the primary focus of this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book focuses on improving energy efficiency in communications and computing systems within information and communication technology.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What are some topics covered in this publication?

submitted by AI Shopping Assistant - 1 month ago
  • A: Topics include energy-efficient system design, network architecture, and new approaches using AI and ML for efficiency.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What new approaches does the book suggest for energy efficiency?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book suggests using AI, machine learning, and data-driven methods for improving energy efficiency in systems.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

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