Learning-Based Sensing and Computing Decision for Data Freshness in Edge Computing-Enabled Networks

Author:

Yun Sinwoong1ORCID,Kim Dongsun1ORCID,Park Chanwon2ORCID,Lee Jemin3ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Republic of Korea

2. Agency for Defense Development (ADD), Daejeon, Republic of Korea

3. School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea

Funder

National Research Foundation of Korea (NRF) funded by the Korean Government through the Ministry of Science and ICT (MSIT), South Korea

NRF funded by the Korean Government through MSIT

MSIT under the Information Technology Research Center (ITRC) Support Program Supervised by the Institute of Information & Communications Technology Planning & Evaluation

IITP funded by the Korean Government through MSIP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Reinforcement Learning-based Adaptive Digital Twin Model for Forests;2024 4th International Conference on Applied Artificial Intelligence (ICAPAI);2024-04-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3