Deep Reinforcement Learning-Based Energy Consumption Optimization for Peer-to-Peer (P2P) Communication in Wireless Sensor Networks.
Jinyu YuanJingyi PengQing YanGang HeHonglin XiangZili LiuPublished in: Sensors (2024)
Keyphrases
- peer to peer
- energy consumption
- wireless sensor networks
- reinforcement learning
- energy efficient
- resource constrained
- save energy
- sensor networks
- energy efficiency
- fully distributed
- sensor nodes
- energy saving
- file sharing
- energy conservation
- base station
- routing algorithm
- data gathering
- routing protocol
- ad hoc networks
- overlay network
- resource limitations
- total energy
- peer to peer networks
- data transmission
- energy aware
- multi hop
- load balancing
- data center
- network connectivity
- data aggregation
- video streaming
- grid computing
- wireless communication
- energy efficient routing
- digital libraries
- reduce the energy consumption
- electricity consumption
- load distribution
- communication networks
- mac protocol
- data dissemination
- wireless sensor
- topology control
- network lifetime
- residual energy
- node selection
- power consumption