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 …

Relaying data with joint optimization of energy and delay in cluster-based UAV-assisted VANETs

S Mokhtari, N Nouri, J Abouei, A Avokh… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Vehicular networks are known for their dynamic topology, high mobility, and frequent
disconnections. Unmanned aerial vehicles (UAVs) have been recently used as instant …

Joint hybrid caching and replacement scheme for UAV-assisted vehicular edge computing networks

Y Liu, C Yang, X Chen, F Wu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Due to the flexible deployment and availability of line-of-sight (LoS) link, unmanned aerial
vehicle (UAV) is able to assist the roadside unit (RSU) to provide timely computing …

Minimization of aerial cost and mission completion time in multi-UAV-enabled IoT networks

X Gao, X Zhu, L Zhai - IEEE Transactions on Communications, 2023 - ieeexplore.ieee.org
The application of unmanned aerial vehicles (UAVs) in IoT networks, especially data
collection, has received extensive attention. Due to the urgency of the mission and limitation …

Average AoI minimization for data collection in UAV-enabled IoT backscatter communication systems with the finite blocklength regime

Y Shen, W Luo, S Wang, X Huang - Ad Hoc Networks, 2023 - Elsevier
Thanks to the autonomy of unmanned aerial vehicle (UAV), UAV-enabled data collection in
Internet of Things (IoT) networks has become a key application for the next generation …

Physical layer security enhancement via intelligent omni-surfaces and uav-friendly jamming

AM Benaya, MH Ismail, AS Ibrahim, AA Salem - IEEE Access, 2023 - ieeexplore.ieee.org
Intelligent reflecting surfaces (IRS) are considered one of the prominent technologies to be
adopted in 6G and beyond networks. However, one of the main IRS limitations is restricting …

Deep reinforcement learning-assisted optimization for resource allocation in downlink OFDMA cooperative systems

MK Tefera, S Zhang, Z Jin - Entropy, 2023 - mdpi.com
This paper considers a downlink resource-allocation problem in distributed interference
orthogonal frequency-division multiple access (OFDMA) systems under maximal power …

Unmanned Aerial Vehicle Assisted Post-Disaster Communication Coverage Optimization Based on Internet of Things Big Data Analysis

B Yang, X Xiong, H Liu, Y Jia, Y Gao, A Tolba, X Zhang - Sensors, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) communication devices has brought about
significant convenience. However, simultaneously, the destruction of communication …

Cooperative networking strategy of UAV cluster for large-scale WSNs

Y Chen, H Liu, J Guo, Y Wang, F Liu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
To solve the shortcomings of wireless sensor networks (WSNs) in data collection in a wide
range, long distance, and other complex environments, such as high networking cost, short …

Energy-Efficient Scheduling in UAV-Assisted Hierarchical Wireless Sensor Networks

R Lai, B Zhang, G Gong, H Yuan, J Yang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In emerging applications of the Internet of Things, wireless sensor networks (WSNs) are
often utilized to gather, track, and monitor data in remote areas with limited communication …