UAV trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning

B Zhu, E Bedeer, HH Nguyen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …

Path planning of multi-UAVs based on deep Q-network for energy-efficient data collection in UAVs-assisted IoT

X Zhu, L Wang, Y Li, S Song, S Ma, F Yang… - Vehicular …, 2022 - Elsevier
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) can effectively alleviate the
problems of unstable links and low transmission efficiency, which have been applied for …

Reinforcement learning for energy-efficient trajectory design of UAVs

AH Arani, MM Azari, P Hu, Y Zhu… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) as aerial base stations (BSs) into terrestrial
cellular networks has emerged as an effective solution to provide coverage and complement …

Multiagent deep reinforcement learning for wireless-powered UAV networks

OS Oubbati, A Lakas, M Guizani - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have attracted much attention lately and are being used
in a multitude of applications. But the duration of being in the sky remains to be an issue due …

Completion time minimization for multi-UAV-enabled data collection

C Zhan, Y Zeng - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Energy consumption is one of the important design aspect for data collection in wireless
sensor networks (WSNs). This paper studies data collection from a set of sensor nodes …

Multi-UAV data collection framework for wireless sensor networks

S Alfattani, W Jaafar, H Yanikomeroglu… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In this paper, we propose a framework design for wireless sensor networks based on
multiple unmanned aerial vehicles (UAVs). Specifically, we aim to minimize deployment and …

DRL-UTPS: DRL-based trajectory planning for unmanned aerial vehicles for data collection in dynamic IoT network

R Liu, Z Qu, G Huang, M Dong, T Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Using highly maneuverable Unmanned Aerial Vehicles (UAV) to collect data is a fast and
efficient method that is widely studied. In most studies, they assume that the UAVs can …

Aerial–ground cost tradeoff for multi-UAV-enabled data collection in wireless sensor networks

C Zhan, Y Zeng - IEEE Transactions on Communications, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled communication has emerged as an appealing
technology for efficient data collection in wireless sensor networks (WSNs). This paper …

Energy-efficient data collection in UAV enabled wireless sensor network

C Zhan, Y Zeng, R Zhang - IEEE Wireless Communications …, 2017 - ieeexplore.ieee.org
In wireless sensor networks, utilizing the unmanned aerial vehicle (UAV) as a mobile data
collector for the sensor nodes (SNs) is an energy-efficient technique to prolong the network …

Efficient aerial data collection with cooperative trajectory planning for large-scale wireless sensor networks

Y Zhu, S Wang - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
Due to the flexibility and agility, unmanned aerial vehicle (UAV) is a promising way for
gathering data generated by wireless sensor networks. However, the limited battery capacity …