Learning aided joint sensor activation and mobile charging vehicle scheduling for energy-efficient WRSN-based industrial IoT

J Chen, C Yi, R Wang, K Zhu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, the joint sensor activation and mobile charging vehicle scheduling for wireless
rechargeable sensor network (WRSN) based industrial Internet of Things (IIoT) is studied. In …

Joint sensor selection and energy allocation for tasks-driven mobile charging in wireless rechargeable sensor networks

T Wu, P Yang, H Dai, C Xiang, X Rao… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Wireless power transfer (WPT) has emerged as a promising paradigm to charge devices
due to the high reliability and efficiency of continuous power supply. Recent studies usually …

Attention-shared multi-agent actor–critic-based deep reinforcement learning approach for mobile charging dynamic scheduling in wireless rechargeable sensor …

C Jiang, Z Wang, S Chen, J Li, H Wang, J Xiang… - Entropy, 2022 - mdpi.com
The breakthrough of wireless energy transmission (WET) technology has greatly promoted
the wireless rechargeable sensor networks (WRSNs). A promising method to overcome the …

Real-time charging scheduling of automated guided vehicles in cyber-physical smart factories using feature-based reinforcement learning

CC Lin, KY Chen, LT Hsieh - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In smart factories, a variety of automated guided vehicles (AGVs) communicate with cyber-
physical systems (CPSs) to autonomously deliver raw materials and workpieces among …

Q-learning-based, Optimized On-demand Charging Algorithm in WRSN

P Le Nguyen, TH Nguyen… - 2020 IEEE 19th …, 2020 - ieeexplore.ieee.org
This paper introduces a novel charging strategy for wireless rechargeable sensor networks
(WRSNs), in which a mobile charger (MC) moves and wirelessly transfers the power to the …

Dynamic Charging Strategy Optimization for UAV-Assisted Wireless Rechargeable Sensor Networks Based On Deep Q-network

N Liu, J Zhang, C Luo, J Cao, Y Hong… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The development of wireless energy transmission technology has significantly propelled the
advancement of wireless rechargeable sensor networks (WRSNs). Energy constraint is one …

RLR: Joint reinforcement learning and attraction reward for mobile charger in wireless rechargeable sensor networks

C Shang, CY Chang, WH Liao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Advances in wireless charging technology give great new opportunities for extending the
lifetime of a wireless sensor network (WSN) which is an important infrastructure of IoT …

RCSS: A real-time on-demand charging scheduling scheme for wireless rechargeable sensor networks

P Zhong, Y Zhang, S Ma, X Kui, J Gao - Sensors, 2018 - mdpi.com
With the emergence of edge computing, a large number of devices such as sensor nodes
have been deployed in the edge network to sense and process data. However, how to …

Data-driven coordinated charging for electric vehicles with continuous charging rates: A deep policy gradient approach

Y Jiang, Q Ye, B Sun, Y Wu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, we consider a parking lot that manages the charging processes of its parked
electric vehicles (EVs). Upon arrival, each EV requests a certain amount of energy. This …

Deep reinforcement learning–based online one-to-multiple charging scheme in wireless rechargeable sensor network

Z Gong, H Wu, Y Feng, N Liu - Sensors, 2023 - mdpi.com
Wireless rechargeable sensor networks (WRSN) have been emerging as an effective
solution to the energy constraint problem of wireless sensor networks (WSN). However, most …