Multi-energy scheduling of an industrial integrated energy system by reinforcement learning-based differential evolution

Z Xu, G Han, L Liu, M Martinez-Garcia… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is one of the main catalysts towards the realization of
the Industry 4.0 paradigm, thus it is regarded as an essential element in future industrial …

Efficient multiple green energy base stations far-field wireless charging for mobile IoT devices

Q Sha, X Liu, N Ansari - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Powering a huge number of Internet of Things Devices (IoTDs), necessitated in many
Internet of Things (IoT) applications, is a dreadful problem in many circumstances, in terms …

The parallel mobile charging service for free-floating shared electric vehicle clusters

S Cui, X Ma, M Zhang, B Yu, B Yao - Transportation Research Part E …, 2022 - Elsevier
Due to the simple rental procedures and unrestricted parking spots, free-floating shared
electric vehicles (SEVs) are widely selected by travelers. A large number of SEVs gather …

Energy-efficient directional charging strategy for wireless rechargeable sensor networks

D Lee, C Lee, G Jang, W Na… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Mobile chargers (MCs) equipped with radio-frequency (RF)-based wireless power transfer
(WPT) modules have been suggested as a possible solution to battery constraints in …

AUV-assisted subsea exploration method in 6G enabled deep ocean based on a cooperative pac-men mechanism

J Zhang, G Han, J Sha, Y Qian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The coming 6G communication technology introduces the possibility of practice underwater
Internet of Things (UIoT) applications with high-speed and reliable underwater …

Efficient green energy far-field wireless charging for Internet of Things

X Liu, N Ansari, Q Sha, Y Jia - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the worldwide ubiquitous implementation of Internet of Things (IoT), IoT devices (IoTDs)
and their emerging applications are commendably enriching people's daily life with …

Machine learning analytic-based two-staged data management framework for internet of things

O Farooq, P Singh, M Hedabou, W Boulila, B Benjdira - Sensors, 2023 - mdpi.com
In applications of the Internet of Things (IoT), where many devices are connected for a
specific purpose, data is continuously collected, communicated, processed, and stored …

Joint energy loss and time span minimization for energy-redistribution-assisted charging of WRSNs with a mobile charger

Z Gao, Y Chen, L Fan, H Wang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The use of mobile chargers (MCs) to charge the nodes in wireless rechargeable sensor
networks via wireless power transfer (WPT) has attracted much research effort. Existing …

Synergy-Payoff-Maximization-Based Rechargeable Adaptive Energy-Efficient Dual-Mode Data Gathering Using Renewable Energy Sources

H Guo, R Wu, Y Ma, S Sun, Y Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Integrating wireless energy transfer (WET) and data gathering based on the mobile
platforms, such as the unmanned aerial vehicle (UAV) has been recognized as a promising …

A Novel DBSCAN Clustering Algorithm via Edge Computing‐Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data

H Liu, Y Liu, Z Qin, R Zhang, Z Zhang… - … and Mobile Computing, 2021 - Wiley Online Library
Big data technology has been developed rapidly in recent years. The performance
improvement mechanism of targeted poverty alleviation is studied through the big data …