Deep Learning-Based Service Distribution Model for Wireless Network Assisted Internet of Everything-Reference-Cited by-同舟云学术

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Deep Learning-Based Service Distribution Model for Wireless Network Assisted Internet of Everything

Published:2022-09-01 Issue:5 Volume:9 Page:3004-3014
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Manogaran Gunasekaran¹^ORCID,Nguyen Tu N.²^ORCID,Gao Jiechao³^ORCID,Kumar Priyan Malarvizhi⁴^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, Howard University, Washington, DC, USA

2. Department of Computer Science, Kennesaw State University, Kennesaw, GA, USA

3. Department of Computer Science, University of Virginia, Charlottesville, VA, USA

4. Department of Computer Engineering, Kyung Hee University, Yongin, Gyeonggi-do, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/9882997/09726929.pdf?arnumber=9726929

Reference28 articles.

1. A semantic-based discovery service for the Internet of Things

2. Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach

3. On Predicting Service-oriented Network Slices Performances in 5G: A Federated Learning Approach

4. ThingsGame: when sending data rate depends on the data usefulness in IoT networks

5. On using reinforcement learning for network slice admission control in 5G: Offline vs. online

Cited by 4 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. Performance Prediction of Power Beacon-Aided Wireless Sensor-Powered Non-Orthogonal Multiple-Access Internet-of-Things Networks under Imperfect Channel State Information;Applied Sciences;2024-05-24

2. Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions;IEEE Access;2024

3. IoT-Inspired Cooperative Spectrum Sharing With Energy Harvesting in UAV-Assisted NOMA Networks: Deep Learning Assessment;IEEE Internet of Things Journal;2023-12-15

4. Neuro-Symbolic Explainable Artificial Intelligence Twin for Zero-Touch IoE in Wireless Network;IEEE Internet of Things Journal;2023-12-15

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