Joint Routing and Scheduling Optimization in Time-Sensitive Networks Using Graph-Convolutional-Network-Based Deep Reinforcement Learning.
Liu YangYifei WeiF. Richard YuZhu HanPublished in: IEEE Internet Things J. (2022)
Keyphrases
- reinforcement learning
- network topologies
- scheduling problem
- interconnection networks
- vehicle routing
- joint optimization
- multiple objectives
- deep learning
- average degree
- dynamic routing
- logistics distribution
- optimization problems
- edge weights
- network structure
- scheduling algorithm
- random walk
- bipartite graph
- network topology
- social networks
- fully connected
- community discovery
- wireless ad hoc networks
- routing problem
- graph mining
- weighted graph
- routing algorithm
- dynamic programming
- mobile nodes
- small world
- machine learning
- graph structure
- network size
- optimal policy
- traffic engineering
- learning algorithm
- evolutionary algorithm
- switched networks
- deep belief networks
- path selection
- wireless networks
- network infrastructure
- resource allocation
- vehicle routing problem
- round robin
- graph theory
- path length