Performance Evaluation of WMN-GA System in Node Placement in WMNs for Different Distributions of Mesh Clients and Different Selection and Mutation Operators.
Admir BarolliShinji SakamotoTetsuya OdaEvjola SpahoMakoto IkedaLeonard BarolliPublished in: Informatica (2016)
Keyphrases
- wireless mesh networks
- mutation operator
- crossover and mutation
- genetic algorithm
- routing protocol
- mobile ad hoc networks
- evolutionary algorithm
- crossover operator
- differential evolution
- wireless networks
- wireless networking
- ad hoc networks
- fitness function
- genetic algorithm ga
- convergence rate
- channel assignment
- power control
- intermediate nodes
- mobile nodes
- multiple paths
- power supply
- source node
- network topology
- nsga ii
- multi objective
- simulated annealing
- multi hop
- multi channel
- routing algorithm
- end to end delay
- mesh network
- mobile networks
- cognitive radio
- artificial neural networks
- data dissemination
- data transmission
- multi objective optimization
- multipath
- traveling salesman problem
- energy consumption
- optimization algorithm
- particle swarm optimization
- response time