Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization.
Dong LiuJiankang ZhangJingjing CuiSoon Xin NgRobert G. MaunderLajos HanzoPublished in: CoRR (2021)
Keyphrases
- multi objective optimization
- ad hoc networks
- deep learning
- multi objective
- routing protocol
- packet forwarding
- flight data
- network topology
- routing algorithm
- evolutionary algorithm
- wireless ad hoc networks
- end to end
- quality of service
- packet delivery
- wireless networks
- unsupervised learning
- qos routing
- service differentiation
- mobile ad hoc networks
- mac protocol
- differential evolution
- peer to peer
- pareto optimal
- mobile networks
- multi hop
- routing overhead
- nsga ii
- genetic algorithm
- intermediate nodes
- optimization algorithm
- machine learning
- end to end delay
- routing scheme
- network layer
- wireless sensor networks
- multipath routing
- objective function
- wireless mesh networks
- multi objective evolutionary algorithms
- multiobjective optimization
- mobile nodes
- weakly supervised
- route discovery
- real time
- data sets
- digital libraries
- wireless link
- particle swarm optimization
- model selection
- energy consumption