Skip to main navigation Skip to search Skip to main content

Improving the Freshness of Digital Twins in Edge Computing

  • Jing Li
  • , Jianping Wang
  • , Weifa Liang
  • , Sajal K. Das
  • , Quan Chen
  • City University of Hong Kong
  • Guangdong University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationWireless Artificial Intelligent Computing Systems and Applications - 19th International Conference, WASA 2025, Proceedings
EditorsZhipeng Cai, Yongxin Zhu, Yonghao Wang, Meikang Qiu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages74-86
Number of pages13
ISBN (Print)9789819687275
DOIs
StatePublished - 2025
Event19th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2025 - Tokyo, Japan
Duration: Jun 24 2025Jun 26 2025

Publication series

NameLecture Notes in Computer Science
Volume15687 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2025
Country/TerritoryJapan
CityTokyo
Period6/24/256/26/25

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Cost modelling
  • Digital Twin (DT)
  • DT synchronization
  • Mobile edge computing
  • Online and approximation algorithms
  • Resource allocation

Fingerprint

Dive into the research topics of 'Improving the Freshness of Digital Twins in Edge Computing'. Together they form a unique fingerprint.

Cite this