Clustering algorithm based on nature-inspired approach for energy optimization in heterogeneous wireless sensor network.
Israel Edem AgbehadjiRichard C. MillhamAbdultaofeek AbayomiJason J. JungSimon James FongSamuel Ofori FrimpongPublished in: Appl. Soft Comput. (2021)
Keyphrases
- nature inspired
- dynamic optimization
- wireless sensor networks
- clustering algorithm
- energy consumption
- swarm intelligence
- ant colony optimization
- sensor nodes
- portfolio management
- ant colony optimization algorithm
- collective intelligence
- metaheuristic
- traveling salesman problem
- sensor networks
- global optimization
- path relinking
- particle swarm optimization
- optimization problems
- routing protocol
- routing algorithm
- web intelligence
- max min
- portfolio optimization
- artificial neural networks
- k means
- tabu search
- pso algorithm
- optimization algorithm
- computational intelligence
- search algorithm
- machine learning