Attention-Shared Multi-Agent Actor–Critic-Based Deep Reinforcement Learning Approach for Mobile Charging Dynamic Scheduling in Wireless Rechargeable Sensor Networks

Attention-Shared Multi-Agent Actor–Critic-Based Deep Reinforcement Learning Approach for Mobile Charging Dynamic Scheduling in Wireless Rechargeable Sensor Networks

The breakthrough of wireless energy transmission (WET) technology has greatly promoted the wireless rechargeable sensor networks (WRSNs). A promising method to overcome the energy constraint problem in WRSNs is mobile charging by employing a mobile charger to charge sensors via WET. Recently, more a...

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Bibliographic Details
Main Authors: Chengpeng Jiang, Ziyang Wang, Shuai Chen, Jinglin Li, Haoran Wang, Jinwei Xiang, Wendong Xiao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Entropy
Subjects:
wireless rechargeable sensor network
deep reinforcement learning
multi-agent
attention-shared
mobile charging
Online Access:https://www.mdpi.com/1099-4300/24/7/965

Internet

https://www.mdpi.com/1099-4300/24/7/965

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