Deep learning-based hybrid dynamic biased track (DL-HDBT) routing for under water acoustic sensor networks.
N. HemavathyP. IndumathiPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- sensor networks
- deep learning
- underwater acoustic
- routing protocol
- data aggregation
- wireless sensor networks
- mobile wireless
- sensor data
- unsupervised learning
- environmental monitoring
- resource constrained
- energy aware
- energy consumption
- sensor nodes
- communication cost
- data streams
- routing algorithm
- communication bandwidth
- ad hoc networks
- mobile sensor networks
- unsupervised feature learning
- energy efficient
- sink node
- base station
- sensor web
- weakly supervised
- routing problem
- data gathering
- data transmission
- shortest path
- mobile nodes
- mental models
- energy efficiency
- low complexity
- computer vision