Mixed Game-Based AoI Optimization for Combating COVID-19 With AI Bots-Reference-Cited by-同舟云学术

Mixed Game-Based AoI Optimization for Combating COVID-19 With AI Bots

Published:2022-11 Issue:11 Volume:40 Page:3122-3138
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Yang Yaoqi¹^ORCID,Wang Weizheng²^ORCID,Yin Zhimeng²,Xu Renhui¹^ORCID,Zhou Xiaokang³^ORCID,Kumar Neeraj⁴^ORCID,Alazab Mamoun⁵^ORCID,Gadekallu Thippa Reddy⁶^ORCID

Affiliation:

1. College of Communications Engineering, Army Engineering University of PLA, Nanjing, China

2. Department of Computer Science, City University of Hong Kong, Hong Kong, SAR, China

3. Faculty of Data Science, Shiga University, Hikone, Japan

4. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India

5. College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia

6. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Funder

NSFC

City University of Hong Kong

Funding Project of Zhejiang Laboratory

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9946926/09924186.pdf?arnumber=9924186

Reference46 articles.

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2. The Age of Information: Real-Time Status Updating by Multiple Sources

3. Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems

4. Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach

5. An IoT-based framework for early identification and monitoring of COVID-19 cases

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