A Q-learning algorithm for task scheduling based on improved SVM in wireless sensor networks.
Zhenchun WeiFei LiuYan ZhangJuan XuJianjun JiZengwei LyuPublished in: Comput. Networks (2019)
Keyphrases
- wireless sensor networks
- learning algorithm
- energy aware
- generalization ability
- support vector machine svm
- training data
- support vector
- classification algorithm
- support vector machine
- machine learning
- reinforcement learning
- svm classifier
- active learning
- sensor networks
- computing systems
- rbf network
- maximum margin
- learning machines
- energy efficient
- biological inspired
- sensor nodes
- environmental monitoring
- data aggregation
- training algorithm
- energy efficiency
- energy consumption
- supervised learning
- multi class
- feature space
- training set
- multi hop
- knn
- multi task learning
- learning scheme
- kernel function
- learning rate
- routing protocol
- routing algorithm
- hyperplane
- learning tasks