A comprehensive survey of the recent studies with UAV for precision agriculture in open fields and greenhouses

MF Aslan, A Durdu, K Sabanci, E Ropelewska… - Applied Sciences, 2022 - mdpi.com
The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …

A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of network and …, 2023 - Elsevier
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

[HTML][HTML] Advancement challenges in UAV swarm formation control: A comprehensive review

Y Bu, Y Yan, Y Yang - Drones, 2024 - mdpi.com
This paper provides an in-depth analysis of the current research landscape in the field of
UAV (Unmanned Aerial Vehicle) swarm formation control. This review examines both …

Achieve load balancing in multi-UAV edge computing IoT networks: A dynamic entry and exit mechanism

H Guo, X Zhou, Y Wang, J Liu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the gradual commercialization of 5G, especially the widespread application of artificial
intelligence (AI) technology, the Internet of Things (IoT) continues to expand and has …

Content delivery analysis in cellular networks with aerial caching and mmwave backhaul

W Wang, N Cheng, Y Liu, H Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we investigate the successful content delivery (SCD) performance in the
unmanned aerial vehicle (UAV) integrated terrestrial cellular networks, where the caching …

Importance-different charging scheduling based on matroid theory for wireless rechargeable sensor networks

W Ouyang, MS Obaidat, X Liu, X Long… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Charging scheduling plays a significant role in wireless rechargeable sensor networks
(WRSNs), which benefit from stable and reliable energy supplements via wireless charging …

-Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications

L Zhang, X Ma, Z Zhuang, H Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article studies the routing problem in a cognitive unmanned aerial vehicle (UAV) swarm
(CU-SWARM), which employs the cognitive radio into a swarm of UAVs within a three-layer …

LTrack: A LoRa-based indoor tracking system for mobile robots

K Hu, C Gu, J Chen - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The robot's mobility and intelligence have expanded its application in recent years.
Specifically, indoor tracking is a fundamental function of public service robots in nursing …

Cooperative reinforcement learning for military drones over large-scale battlefields

GS Kim, S Lee, T Woo, S Park - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The development of autonomous systems in military drone operations signifies a paradigm
shift in modern warfare strategies, and modern warfare emphasizes the crucial role of …