Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective Optimization.
Dong LiuJian-Kang ZhangJingjing CuiSoon Xin NgRobert G. MaunderLajos HanzoPublished in: IEEE Internet Things J. (2022)
Keyphrases
- multiobjective optimization
- ad hoc networks
- deep learning
- multi objective
- packet forwarding
- routing protocol
- flight data
- network topology
- min max
- routing algorithm
- wireless ad hoc networks
- wireless networks
- packet delivery
- end to end
- qos routing
- swarm intelligence
- artificial immune system
- quality of service
- multi hop
- peer to peer
- mac protocol
- unsupervised learning
- mobile ad hoc networks
- machine learning
- mobile networks
- particle swarm optimization
- wireless mesh networks
- route discovery
- objective function
- mental models
- nsga ii
- end to end delay
- intermediate nodes
- multi objective optimization
- optimization algorithm
- pareto optimal
- multipath routing
- routing scheme
- evolutionary algorithm
- routing overhead
- mobile nodes
- multiple objectives
- packet loss
- energy consumption