Energy-Efficient Routing Using LSTM-Based Deep Learning for Sink Mobility Prediction to Enhance Lifetime and Stability of Wireless Sensor Networks.
Mohammed F. SuleimanUsman AdeelPublished in: ISNCC (2023)
Keyphrases
- deep learning
- energy efficient routing
- wireless sensor networks
- energy consumption
- residual energy
- sensor nodes
- network lifetime
- energy efficiency
- data transmission
- sensor networks
- energy efficient
- base station
- unsupervised learning
- sink node
- machine learning
- unsupervised feature learning
- routing algorithm
- wireless communication
- data center
- multi hop
- cluster head
- sensor data
- data aggregation
- weakly supervised
- routing protocol
- mental models
- maximum lifetime
- power consumption
- mobile networks
- text classification
- dimensionality reduction
- generative model
- automatic extraction
- neural network
- end to end
- data mining