Deep Reinforcement Learning-Based Energy Consumption Optimization for Peer-to-Peer (P2P) Communication in Wireless Sensor Networks

Deep Reinforcement Learning-Based Energy Consumption Optimization for Peer-to-Peer (P2P) Communication in Wireless Sensor Networks

The fast development of the sensors in the wireless sensor networks (WSN) brings a big challenge of low energy consumption requirements, and Peer-to-peer (P2P) communication becomes the important way to break this bottleneck. However, the interference caused by different sensors sharing the spectrum...

Full description

Bibliographic Details
Main Authors: Jinyu Yuan, Jingyi Peng, Qing Yan, Gang He, Honglin Xiang, Zili Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
wireless sensor networks
peer-to-peer communication
energy consumption
power control
deep reinforcement learning
Online Access:https://www.mdpi.com/1424-8220/24/5/1632

Internet

https://www.mdpi.com/1424-8220/24/5/1632

Similar Items