A Genetic Algorithm with Elite Mutation to Optimize Cruise Area of Mobile Sinks in Hierarchical Wireless Sensor Networks.
Mong-Fong HorngYi-Ting ChenShu-Chuan ChuJeng-Shyang PanBin-Yih LiaoJang-Pong HsuJia-Nan LinPublished in: ICCCI (2) (2012)
Keyphrases
- wireless sensor networks
- genetic algorithm
- fitness function
- sensor networks
- network connectivity
- energy consumption
- tabu search
- evolutionary algorithm
- sensor nodes
- multi objective
- energy efficient
- population size
- differential evolution
- genetic algorithm is applied
- energy efficiency
- mutation operator
- genetic operators
- data aggregation
- evolutionary computation
- wireless communication
- genetic algorithm ga
- multiobjective optimization
- mobile nodes
- mobile devices
- environmental monitoring
- mobile computing
- data transmission
- base station
- multi hop
- crossover operator
- artificial neural networks
- simulated annealing
- evolutionary process
- mobile phone
- genetic programming
- routing protocol
- body sensor networks
- crossover and mutation
- context aware
- hybrid algorithm
- mobile applications
- routing algorithm
- neural network
- particle swarm optimization
- hierarchical structure
- optimization method
- data dissemination
- metaheuristic
- mobile environments
- mobile networks
- search capabilities
- computing environments
- key management
- multi objective optimization
- mobile learning