Energy Management in Wireless Sensor Networks Based on Naive Bayes, MLP, and SVM Classifications: A Comparative Study.
Abdulaziz BarnawiIsmail Mohamed KeshtaPublished in: J. Sensors (2016)
Keyphrases
- energy management
- naive bayes
- wireless sensor networks
- energy efficiency
- energy saving
- text classifiers
- classification algorithm
- naive bayes classifier
- training data
- feature selection
- energy consumption
- decision trees
- classification accuracy
- cost sensitive
- text classification
- energy efficient
- support vector
- power saving
- power consumption
- logistic regression
- sensor networks
- support vector machine svm
- text categorization
- bayesian classifiers
- neural network
- bayesian networks
- sensor nodes
- knn
- support vector machine
- augmented naive bayes
- svm classifier
- bayesian classifier
- electric vehicles
- bayesian network classifiers
- base station
- routing algorithm
- wireless communication
- radial basis function
- k nearest neighbor
- base classifiers
- data center
- training set
- attribute dependencies
- conditional independence assumption
- averaged one dependence estimators
- fuzzy logic
- independence assumption
- artificial neural networks
- feature space