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 …

Multiple mobile robot task and motion planning: A survey

L Antonyshyn, J Silveira, S Givigi, J Marshall - ACM Computing Surveys, 2023 - dl.acm.org
With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

AoI-sensitive data collection in multi-UAV-assisted wireless sensor networks

X Gao, X Zhu, L Zhai - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) is widely used in some scenes with high requirements
for information freshness. Due to the limited endurance of the UAV, especially in the scenes …

Offline and online UAV-enabled data collection in time-constrained IoT networks

O Ghdiri, W Jaafar, S Alfattani… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV) technology is endorsed to enable applications in
domains such as Internet of Things (IoT), wireless sensor networks, and cellular networks …

Relaying in the Internet of Things (IoT): A survey

U Uyoata, J Mwangama, R Adeogun - IEEE Access, 2021 - ieeexplore.ieee.org
The deployment of relays between Internet of Things (IoT) end devices and gateways can
improve link quality. In cellular-based IoT, relays have the potential to reduce base station …

AoI-minimal task assignment and trajectory optimization in multi-UAV-assisted IoT networks

C Liu, Y Guo, N Li, X Song - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
This article investigates an unmanned-aerial-vehicle (UAV)-assisted Internet of Things
system, where multiple UAVs take off from a data center (DC), collect data from multiple …

IoT-aerial base station task offloading with risk-sensitive reinforcement learning for smart agriculture

T Pamuklu, AC Nguyen, A Syed… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Aerial base stations (ABSs) allow smart farms to offload processing responsibility of complex
tasks from Internet of things (IoT) devices to ABSs. IoT devices have limited energy and …

Deep Reinforcement Learning Enabled Multi-UAV Scheduling for Disaster Data Collection With Time-Varying Value

P Wan, G Xu, J Chen, Y Zhou - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
The congestion and disruption of information infrastructures frequently happen during
disasters, which would hinder the understanding of disaster scenarios, and thus impede …

Deep reinforcement learning based energy efficient multi-UAV data collection for IoT networks

SS Khodaparast, X Lu, P Wang… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are regarded as an emerging technology, which can be
effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks …

Flying path optimization of rechargeable UAV for data collection in wireless sensor networks

Y Zhu, S Wang - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
In this letter, we study a novel framework to realize efficient data collection from wireless
sensor networks, where an unmanned aerial vehicle (UAV) is dispatched to collect the …