Deep learning-based route reconfigurability for intelligent vehicle networks to improve power-constrained using energy-efficient geographic routing protocol.
Liyakathunisa SyedP. SathyaprakashA. ShobanadeviHa Huy Cuong NguyenMohammad AlauthmanM. VedarajR. PremalathaPublished in: Wirel. Networks (2024)
Keyphrases
- energy efficient
- routing protocol
- deep learning
- wireless sensor networks
- energy consumption
- packet delivery
- node mobility
- energy efficiency
- ad hoc networks
- multi hop
- routing overhead
- sensor networks
- mobile nodes
- routing algorithm
- end to end delay
- transmission power
- wireless ad hoc networks
- power consumption
- intermediate nodes
- network topology
- source node
- mobile ad hoc networks
- intelligent vehicles
- sensor nodes
- route discovery
- computer vision
- cross layer
- social networks
- cluster head
- base station
- data mining
- network resources
- data sets
- real time
- routing table
- network lifetime
- unsupervised learning
- multipath
- data center