Image from Google Jackets

Algorithmic Mechanism Design for Internet of Things Services Market [electronic resource] : Design Incentive Mechanisms to Facilitate the Efficiency and Sustainability of IoT Ecosystem / by Yutao Jiao, Ping Wang, Dusit Niyato.

By: Contributor(s): Material type: TextTextLanguage: İngilizce Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811673535
Subject(s): LOC classification:
  • TK5105.8857
Online resources:
Contents:
Chapter1. Introduction -- Chapter2. Literature Review -- Chapter 3. Profit Maximization Mechanism and Data Management for Data Analytics Services -- Chapter 4. Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks -- Chapter 5. Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks -- Chapter 6. Summary and Future Work.
Summary: This book establishes game-theoretical frameworks based on the mechanism design theory and proposes strategy-proof algorithms, to optimally allocate and price the related IoT services, so that the social welfare of IoT ecosystem or the service provider’s revenue can be maximized and the IoT service provision can be sustainable. This book is written by experts based on the recent research results on the interaction between the service providers and users in the IoT system. Since the IoT networks are essentially supported by data, communication, and computing resources, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain networks, and the wireless powered data crowdsourcing services. Researchers, scientists, and engineers in the field of resource allocation and service management for future IoT ecosystem can benefit from the book. As such, this book provides valuable insights and practical methods, especially the novel deep learning-based mechanism that can be considered in the emerging IoT technology.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Collection Call number Copy number Status Notes Date due Barcode
E-Book E-Book Merkez Kütüphane Merkez Kütüphane E-Kitap Koleksiyonu TK5105.8857EBK (Browse shelf(Opens below)) 1 Geçerli değil-e-Kitap / Not applicable-e-Book BİL EBK02798

Chapter1. Introduction -- Chapter2. Literature Review -- Chapter 3. Profit Maximization Mechanism and Data Management for Data Analytics Services -- Chapter 4. Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks -- Chapter 5. Mechanism Design for Wireless Powered Spatial Crowdsourcing Networks -- Chapter 6. Summary and Future Work.

This book establishes game-theoretical frameworks based on the mechanism design theory and proposes strategy-proof algorithms, to optimally allocate and price the related IoT services, so that the social welfare of IoT ecosystem or the service provider’s revenue can be maximized and the IoT service provision can be sustainable. This book is written by experts based on the recent research results on the interaction between the service providers and users in the IoT system. Since the IoT networks are essentially supported by data, communication, and computing resources, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain networks, and the wireless powered data crowdsourcing services. Researchers, scientists, and engineers in the field of resource allocation and service management for future IoT ecosystem can benefit from the book. As such, this book provides valuable insights and practical methods, especially the novel deep learning-based mechanism that can be considered in the emerging IoT technology.

There are no comments on this title.

to post a comment.
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.