Apr 12, 2023 · We propose an online one-to-multiple charging scheme based on Deep Reinforcement Learning, which utilizes Double Dueling DQN (3DQN) to jointly optimize the ...
Apr 12, 2023 · Extensive simulation experiments show that our proposed scheme achieves better charging performance compared with several existing typical works ...
Apr 12, 2023 · To achieve timely and efficient energy replenishment for large-scale WSN, we propose an online one-to-multiple charging scheme based on Deep ...
An online one-to-multiple charging scheme based on Deep Reinforcement Learning, which utilizes Double Dueling DQN (3DQN) to jointly optimize the scheduling ...
To achieve timely and efficient energy replenishment for large-scale WSN, we propose an online one-to-multiple charging scheme based on Deep Reinforcement ...
Jan 1, 2021 · We need a better way to model the charging demand of each sensor, such that the sensors are able to be charged multiple times in one charging tour.
Wireless rechargeable sensor networks (WRSN) have been emerging as an effective solution to the energy constraint problem of wireless sensor networks (WSN).
Deep Reinforcement Learning-Based Online One-to-Multiple Charging Scheme in Wireless Rechargeable Sensor Network. Z. Gong, H. Wu, Y. Feng, and N. Liu.
Wireless rechargeable sensor networks are widely used in many fields. However, the limited battery capacity of sensor nodes hinders its development.
In this paper, focusing on cooperative computing with a large number of nodes, we propose a set of solutions, including dynamic clustering, inter-cluster task ...
Missing: Online Charging