Shuffled Particle Swarm Optimization for Energy Efficiency Using Novel Fitness Function in WSN.
Amruta LipareDamodar Reddy EdlaPublished in: PReMI (1) (2019)
Keyphrases
- fitness function
- energy efficiency
- particle swarm optimization
- wireless sensor networks
- genetic algorithm
- energy consumption
- evolutionary algorithm
- energy efficient
- genetic programming
- particle swarm
- multi objective
- sensor nodes
- pso algorithm
- genetic algorithm ga
- sensor networks
- power consumption
- evolutionary computation
- routing protocol
- particle swarm optimization pso
- genetic operators
- network lifetime
- energy saving
- particle swarm optimization algorithm
- global optimization
- power management
- cluster head
- differential evolution
- swarm intelligence
- wireless sensor
- response time
- ant colony optimization
- convergence speed
- energy conservation
- data center
- binary particle swarm optimization
- search space
- base station
- routing algorithm
- data transmission
- neural network
- topology control
- multi hop
- crossover and mutation
- crossover operator
- evolutionary search
- traffic load
- node selection
- artificial intelligence
- management system
- optimization algorithm
- global search
- optimization method
- low cost
- smart home