Battery-free wireless sensor networks: A comprehensive survey
Battery-free wireless sensor network (BF-WSN)(including energy harvesting network and
energy rechargeable network) is a new network architecture that has been proposed in …
energy rechargeable network) is a new network architecture that has been proposed in …
A novel Q-learning-based FKG-Pairs approach for extreme cases in decision making
The decision-making problems based on fuzzy inference systems have received much
attention from the worldwide scientific community. The M-CFIS-FKG model is considered …
attention from the worldwide scientific community. The M-CFIS-FKG model is considered …
[HTML][HTML] An on-demand charging for connected target coverage in WRSNs using fuzzy logic and Q-Learning
In wireless rechargeable sensor networks (WRSNs), a mobile charger (MC) moves around
to compensate for sensor nodes' energy via a wireless medium. In such a context, designing …
to compensate for sensor nodes' energy via a wireless medium. In such a context, designing …
Joint optimization of charging location and time for network lifetime extension in WRSNs
Wireless rechargeable sensor networks (WRSNs) have emerged as a potential solution to
solve the challenge of prolonging battery-powered sensor networks' lifetime. In a WRSN, a …
solve the challenge of prolonging battery-powered sensor networks' lifetime. In a WRSN, a …
Energy-efficient Neuro-fuzzy-based Multi-node Charging Model for WRSNs using Multiple Mobile Charging Vehicles
Mobile charging vehicles (MCV s) have played a significant role in advancing Wireless
Rechargeable Sensor Networks (WRSNs). Recent research has primarily focused on on …
Rechargeable Sensor Networks (WRSNs). Recent research has primarily focused on on …
A deep reinforcement learning approach for online mobile charging scheduling with optimal quality of sensing coverage in wireless rechargeable sensor networks
J Li, H Wang, C Jiang, W Xiao - Ad Hoc Networks, 2024 - Elsevier
Mobile charging provides a new energy replenishment technology for Wireless
Rechargeable Sensor Network (WRSN), where the Mobile Charger (MC) is employed for …
Rechargeable Sensor Network (WRSN), where the Mobile Charger (MC) is employed for …
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 …
advancement of wireless rechargeable sensor networks (WRSNs). Energy constraint is one …
A reinforcement learning based mobile charging sequence scheduling algorithm for optimal sensing coverage in wireless rechargeable sensor networks
J Li, H Wang, W Xiao - Journal of Ambient Intelligence and Humanized …, 2024 - Springer
Mobile charging provides a new way for energy replenishment in the Wireless
Rechargeable Sensor Network (WRSN), where the Mobile Charger (MC) is employed for …
Rechargeable Sensor Network (WRSN), where the Mobile Charger (MC) is employed for …
A Threat-Aware and Efficient Wireless Charging Scheme for IoT Networks
M Mahamat, G Jaber… - … and Mobile Computing …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is a breakthrough that enables many applications and improves
our daily life. Since IoT networks deploy many devices which are generally energy or …
our daily life. Since IoT networks deploy many devices which are generally energy or …
A deep reinforcement learning-based context-aware wireless mobile charging scheme for the internet of things
M Mahamat, G Jaber… - 2022 IEEE Symposium on …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) has gained in popularity over the years and is used in numerous
applications. IoT networks employ many constrained devices, thus, finding energy is …
applications. IoT networks employ many constrained devices, thus, finding energy is …