Spatio-temporal optimization for charging scheduling in wireless rechargeable sensor networks

Y Hong, Y Yang, C Luo, D Li, Y Lu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Wireless rechargeable sensor networks (WRSNs) have been widely utilized and have
played an important role in many surveillance application scenarios. The optimization of the …

Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks

Y Wang, J Farooq - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The advent of fifth generation 5G networks has opened new avenues for enhancing
connectivity, particularly in challenging environments, such as remote areas or disaster …

Completion time minimization considering GNs' energy for UAV-assisted data collection

M Li, X Liu, H Wang - IEEE Wireless Communications Letters, 2023 - ieeexplore.ieee.org
The completion time minimization in unmanned aerial vehicle (UAV)-assisted data collection
becomes a critical issue for some applications. This letter focuses on minimizing the …

[HTML][HTML] Monocular-vision-based moving target geolocation using unmanned aerial vehicle

T Pan, B Deng, H Dong, J Gui, B Zhao - Drones, 2023 - mdpi.com
This paper develops a framework for geolocating a ground moving target with images taken
from an unmanned aerial vehicle (UAV). Unlike the usual moving target geolocation …

Collection Point Matters in Time-Energy Trade-Off for UAV-Enabled Data Collection of IoT Devices

Q Fu, R Jia, F Lyu, F Lin, Z Zheng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this work, we study the problem of dispatching an unmanned aerial vehicle (UAV) for data
collection of internet of things (IoT) devices, where a UAV departs from a data center, then …

Collect Spatiotemporally Correlated Data in IoT Networks with an Energy-constrained UAV

W Xu, H Shao, Q Shen, J Peng… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are promising tools for efficient data collections of
sensors in Internet of Things networks. Existing studies exploited both spatial and temporal …

[HTML][HTML] Multi-UAV Formation Path Planning Based on Compensation Look-Ahead Algorithm

T Sun, W Sun, C Sun, R He - Drones, 2024 - mdpi.com
This study primarily studies the shortest-path planning problem for unmanned aerial vehicle
(UAV) formations under uncertain target sequences. In order to enhance the efficiency of …

QoE Maximization for Aerial Video Streaming with Multiple Cellular Connected UAVs

C Zhan, H Yan, H Hu, L Zhu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In this paper, we consider an aerial video streaming scenario where multiple cellular
connected UAVs are employed to capture videos from different Point of Interest (PoI) areas …

Obstacle Aware Density Based Nano-Router Localization in IoNT

E Sahin, O Gulec - 2023 8th International Conference on …, 2023 - ieeexplore.ieee.org
Wireless Nano-Sensor Networks (WNSNs) are dense networks consisting of many nano-
machines that work on nano-scale mediums in Internet of Nano-Things (IoNT) applications …

Efficient Order Dispatching and Route Planning for On-demand Delivery

W Huang, Q Li, C Zha - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
On-demand delivery has surged in popularity owing to its capacity to swiftly cater to
customers' immediate requirements and deliver a seamless and efficient delivery …