GTIACO: energy efficient clustering algorithm based on game theory and improved ant colony optimization.
Hang WanZhizhuo QiuRui QuanMichaël DavidWilliam DerigentPublished in: Telecommun. Syst. (2024)
Keyphrases
- ant colony optimization
- game theory
- energy efficient
- clustering algorithm
- wireless sensor networks
- metaheuristic
- game theoretic
- energy consumption
- swarm intelligence
- sensor networks
- ant colony
- cooperative
- aco algorithm
- ant colony optimization algorithm
- nash equilibrium
- energy efficiency
- particle swarm optimization pso
- traveling salesman problem
- base station
- multi agent systems
- ant colonies
- genetic algorithm
- particle swarm optimization
- resource allocation
- nash equilibria
- nature inspired
- fictitious play
- artificial ants
- ant colony algorithm
- aco algorithms
- tabu search
- statistical physics
- data transmission
- pheromone trails
- artificial intelligence
- neural network