Energy-Efficient Clustering Algorithm in Underwater Sensor Networks Based on Fuzzy C Means and Moth-Flame Optimization Method.
Wang FeiHexiang BaiDeyu LiWang JianjunPublished in: IEEE Access (2020)
Keyphrases
- optimization method
- sensor networks
- energy efficient
- fuzzy c means
- clustering algorithm
- underwater acoustic
- wireless sensor networks
- fuzzy clustering
- optimization algorithm
- energy consumption
- fcm algorithm
- clustering method
- sensor nodes
- genetic algorithm
- k means
- energy efficiency
- simulated annealing
- evolutionary algorithm
- data collection
- possibilistic c means
- differential evolution
- data aggregation
- image segmentation
- cluster analysis
- communication cost
- sensor data
- multi hop
- metaheuristic
- base station
- data dissemination
- membership functions
- data gathering
- data streams
- data sets
- multi objective
- routing protocol
- cluster centers
- mac protocol
- fuzzy sets
- cluster head
- optimization problems
- computer vision
- cluster validity index
- neural network