Dual-Driven Resource Management for Sustainable Computing in the Blockchain-Supported Digital Twin IoT-Reference-Cited by-同舟云学术

Dual-Driven Resource Management for Sustainable Computing in the Blockchain-Supported Digital Twin IoT

Published:2023-04-15 Issue:8 Volume:10 Page:6549-6560
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Wang Dan¹^ORCID,Li Bo¹,Song Bin¹^ORCID,Liu Yingjie¹^ORCID,Muhammad Khan²^ORCID,Zhou Xiaokang³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

2. Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), Department of Applied Artificial Intelligence, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, Republic of Korea

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

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Shaanxi Province

Open Research Projects of Zhejiang Lab

State Key Laboratory of Integrated Services Networks

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10094209/09750989.pdf?arnumber=9750989

Reference33 articles.

1. Communication-Efficient Federated Learning and Permissioned Blockchain for Digital Twin Edge Networks

2. Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning

3. Resource management for latency-sensitive IoT applications with satisfiability;avasalcai;IEEE Trans Services Comput,2021

4. Distributed Dynamic Resource Management and Pricing in the IoT Systems With Blockchain-as-a-Service and UAV-Enabled Mobile Edge Computing

5. Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn From a Digital Twin

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