• English
    • Tiếng Việt
  • English 
    • English
    • Tiếng Việt
  • Login
View Item 
  •   VinSpace Home
  • The College of Engineering and Computer Science
  • Nguyen Van Dinh, PhD.
  • View Item
  •   VinSpace Home
  • The College of Engineering and Computer Science
  • Nguyen Van Dinh, PhD.
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Optimal auction for effective energy management for UAV-assisted metaverse synchronization system

Thumbnail
View/Open
Optimal Auction for Effective Energy Management for UAV-assisted Metaverse Synchronization System.pdf (341.9Kb)
Date
2023
Author
Nguyen, Cong Luong
Le, Khac Chau
Nguyen, Do Duy Anh
Nguyen, Huu Sang
Feng, Shaohan
Nguyen, Van Dinh
Niyato, Dusit
Kim, Dong In
Metadata
Show full item record
Abstract
In this paper, we investigate an effective energy management in a UAV-assisted Metaverse synchronization system. The UAVs perform the data collection for a virtual service provider (VSP) for the synchronization between the physical objects and digital twins (DTs). The UAVs buy energy resources from an energy service provider (ESP). The key issue is to motivate both the ESP and the UAVs to participate in the energy trading market. For this, we design a deep learning (DL)-based auction scheme that maximizes the revenue of the ESP while guaranteeing individual rationality (IR) and incentive compatibility (IC). We provide numerical results to demonstrate the improvement of the DL-based auction scheme compared to the baseline scheme in terms of revenue, IC, and IR.
URI
https://vinspace.edu.vn/handle/VIN/383
Collections
  • Nguyen Van Dinh, PhD. [15]

Contact Us | Send Feedback
 

 

Browse

All of VinSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Contact Us | Send Feedback