A robust clustering approach for extending the lifetime of wireless sensor networks in an optimized manner with a novel fitness function.
Ahmed HassanAhmed M. AnterMohammed KayedPublished in: Sustain. Comput. Informatics Syst. (2021)
Keyphrases
- fitness function
- wireless sensor networks
- genetic programming
- genetic algorithm
- evolutionary algorithm
- genetic algorithm ga
- genetic algorithm is employed
- evolutionary computation
- energy consumption
- data gathering
- clustering algorithm
- crossover operator
- search space
- k means
- energy efficient
- particle swarm optimisation
- multi objective
- cluster head
- constrained optimization problems
- genetic operators
- evolutionary search
- binary particle swarm optimization
- residual energy
- sensor nodes
- fitness evaluation
- initial population
- differential evolution
- base station
- routing protocol
- search algorithm
- particle swarm
- optimization problems
- sensor networks
- network lifetime
- neural network
- evolutionary process
- multi hop
- energy efficiency
- multi objective optimization
- routing algorithm
- optimization method
- artificial neural networks
- simulated annealing