A Novel Opportunistic Access Algorithm Based on GCN Network in Internet of Mobile Things
Author:
Affiliation:
1. Department of Signal and Control, School of Rail Transportation, Soochow University, Suzhou, China
2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China
Funder
National Natural Science Foundation of China
State Key Laboratory of Rail Traffic Control and Safety
Scientific Research Project Funding of Suzhou Rail Transit Group Company Ltd.
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/ielx7/6488907/10159464/10044926.pdf?arnumber=10044926
Reference28 articles.
1. Optimization of Time–Frequency Resource Management Based on Probabilistic Graphical Models in Railway Internet-of-Things Networking
2. A Dynamic and Self-Adaptive Network Selection Method for Multimode Communications in Heterogeneous Vehicular Telematics
3. Semi-supervised classification by graph p-Laplacian convolutional networks
4. QAAs: QoS provisioned artificial intelligence framework for AP selection in next-generation wireless networks
5. Network Selection Equilibrium in Heterogeneous Wireless Environment
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