Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach-Reference-Cited by-同舟云学术

Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach

Published:2024-06-15 Issue:12 Volume:11 Page:21021-21036
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Kang Jiawen¹^ORCID,Zhong Yue²^ORCID,Xu Minrui³^ORCID,Nie Jiangtian³^ORCID,Wen Jinbo⁴^ORCID,Du Hongyang³^ORCID,Ye Dongdong⁵^ORCID,Huang Xumin⁶^ORCID,Niyato Dusit³^ORCID,Xie Shengli⁷^ORCID

Affiliation:

1. School of Automation and the 111 Center for Intelligent Batch Manufacturing based on IoT Technology, Guangdong University of Technology, Guangzhou, China

2. School of Automation and the Key Laboratory of Intelligent Information Processing and System Integration of IoT, Ministry of Education, Guangdong University of Technology, Guangzhou, China

3. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

4. Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

5. School of Automation and the Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangdong University of Technology, Guangzhou, China

6. School of Automation and the Key Laboratory of Intelligent Detection and IoT in Manufacturing, Ministry of Education, Guangdong University of Technology, Guangzhou, China

7. School of Automation and the Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China

Funder

NSFC

Guangdong Provincial Pearl River Talents Program

Guangzhou Basic Research Program

Energy Research Test-Bed and Industry Partnership Funding Initiative, Energy Grid (EG) 2.0 Programme, DesCartes and MOE Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10416899.pdf?arnumber=10416899

Reference51 articles.

1. Digital Twins-based Multi-agent Deep Reinforcement Learning for UAV-assisted Vehicle Edge Computing

2. Blockchain-Empowered Federated Learning for Healthcare Metaverses: User-Centric Incentive Mechanism With Optimal Data Freshness

3. Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses

4. Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses

5. Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction

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