ss5: A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders.
Bobo WangXiaohu ZhengJinsong BaoJie LiPublished in: ICNSC (2020)
Keyphrases
- energy consumption
- prediction model
- feature selection
- wireless sensor networks
- stepwise regression
- energy saving
- energy efficient
- energy efficiency
- regression model
- sensor networks
- energy conservation
- base station
- data transmission
- power management
- routing protocol
- save energy
- bp neural network
- energy aware
- routing algorithm
- electricity consumption
- environmental impact
- neural network
- feature set
- optimization algorithm
- multi hop
- data aggregation
- feature space
- data center
- cluster head
- sensor nodes
- feature subset
- resource limitations
- ad hoc networks
- exponential smoothing