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{ "item_title" : "Intelligent Resource Management in Vehicular Networks", "item_author" : [" Haixia Peng", "Qiang Ye", "Xuemin Sherman Shen "], "item_description" : "This book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/096/506/3030965066_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intelligent Resource Management in Vehicular Networks|Haixia Peng

Intelligent Resource Management in Vehicular Networks

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Overview

This book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies.

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Details

  • ISBN-13: 9783030965068
  • ISBN-10: 3030965066
  • Publisher: Springer
  • Publish Date: March 2022
  • Dimensions: 9.5 x 6.3 x 0.38 inches
  • Shipping Weight: 0.98 pounds
  • Page Count: 154

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