Performance Evaluation of WMN-GA System for Node Placement in WMNs Considering Exponential and Weibull Distribution of Mesh Clients and Different Selection and Mutation Operators.
Admir BarolliTetsuya OdaLeonard BarolliFatos XhafaMakoto TakizawaPetraq PapajorgjiPublished in: CISIS (2013)
Keyphrases
- wireless mesh networks
- mutation operator
- routing protocol
- crossover and mutation
- mobile ad hoc networks
- weibull distribution
- genetic algorithm
- crossover operator
- evolutionary algorithm
- differential evolution
- intermediate nodes
- channel assignment
- ad hoc networks
- wireless networking
- convergence rate
- wireless networks
- mobile nodes
- fitness function
- genetic algorithm ga
- power control
- multi hop
- network topology
- source node
- multi channel
- routing algorithm
- end to end delay
- multiple paths
- multi objective
- wireless sensor networks
- power supply
- web services
- mesh network
- nsga ii
- end to end
- wireless communication
- data transmission
- optimization algorithm
- multipath
- multicast tree
- simulated annealing
- cognitive radio
- particle swarm optimization
- tabu search
- multi objective optimization
- energy consumption
- probability density function
- neural network