On the Data Freshness for Industrial Internet of Things With Mobile-Edge Computing

Author:

Li Jiaping1,Tang Jianhua1ORCID,Liu Zilong2ORCID

Affiliation:

1. Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, China

2. School of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K.

Funder

National Natural Science Foundation of China

Foundation and Application Research Grant of Guangzhou

U.K. Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 9 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. AoI-Minimal Power Adjustment in RF-EH-Powered Industrial IoT Networks: A Soft Actor-Critic-Based Method;IEEE Transactions on Mobile Computing;2024-09

2. Digital twin-assisted semi-federated learning framework for industrial edge intelligence;China Communications;2024-05

3. Joint Optimization on Trajectory and Resource for Freshness Sensitive UAV-Assisted MEC System;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

4. Optimizing Sensor Data Transmission in Collaborative Multi-Sensor Environments;2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT);2023-11-23

5. Short Packet-Based Status Updates in Cognitive Internet of Things: Analysis and Optimization;IEEE Transactions on Cognitive Communications and Networking;2023-02

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