An End-to-End Load Balancer Based on Deep Learning for Vehicular Network Traffic Control.
Jinglin LiGuiyang LuoNan ChengQuan YuanZhiheng WuShang GaoZhihan LiuPublished in: IEEE Internet Things J. (2019)
Keyphrases
- end to end
- deep learning
- traffic control
- traffic light
- congestion control
- network management
- network flow
- unsupervised learning
- traffic flow
- traffic management
- network traffic
- ad hoc networks
- scalable video
- network structure
- peer to peer
- multi hop
- network resources
- machine learning
- traffic signal
- transport protocol
- traffic congestion
- long distance
- network design
- computer networks
- reinforcement learning
- training data