A methodological framework for optimizing the energy consumption of deep neural networks: a case study of a cyber threat detector.
Amit KaramchandaniAlberto MozoSandra Gómez CanavalAntonio PastorPublished in: Neural Comput. Appl. (2024)
Keyphrases
- energy consumption
- methodological framework
- neural network
- wireless sensor networks
- energy efficiency
- energy efficient
- cyber crime
- energy saving
- sensor networks
- energy conservation
- base station
- data transmission
- data center
- sensor nodes
- routing protocol
- power management
- multi hop
- energy aware
- environmental impact
- fuzzy systems
- electricity consumption
- data aggregation
- save energy
- residual energy
- stability margin
- load distribution
- cluster head
- multi layer
- routing algorithm
- response time
- mobile devices