A Novel Hybrid Genetic and A-star Algorithm for UAV Path Optimization

D Mehmood, A Ali, S Ali, F Kulsoom… - 2024 IEEE 1st …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are essential in 5G/6G communication as they provide
affordable and effective solutions. However, collecting data in an unfamiliar environment …

EDGO: UAV-based effective data gathering scheme for wireless sensor networks with obstacles

PV Pravija Raj, AM Khedr, Z Al Aghbari - Wireless Networks, 2022 - Springer
One of the most important requirements for effective UAV–WSN operations is to perform data
collection in timely and safe manner. Identifying an effective path in an environment with …

Design of Hybrid Snake Optimizer based Route Selection Approach for Unmanned Aerial Vehicles Communication

HK Alkahtani, H Mahgoub, F Alotaibi, KM Othman… - IEEE …, 2024 - ieeexplore.ieee.org
The effective usage of energy becomes crucial for the successful deployment and operation
of unmanned aerial vehicles (UAVs) in different applications, such as surveillance …

AI Empowered Intelligent Search for Path Planning in UAV-Assisted Data Collection Networks

X Li, M Tao, S Yang, MA Jan, J Du… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) assisted data collection has been extensively employed in
various application scenarios, eg, non-terrestrial networks for disaster management …

[PDF][PDF] An efficient framework for sensor data collection by UAV based on clustering, two-fold ant colony optimization and node grouping

M Shayboub, E Reda, H Al-Mahdi, H Nassar - 2023 - assets-eu.researchsquare.com
Abstract Unmanned Aerial Vehicles (UAVs) are a promising solution for sensor data
collection (DC) in large-scale area. The challenge is to minimize the DC route, which will …

The Role of Machine Learning in UAV-Assisted Communication

S Javed, A Hassan, R Ahmad, S Qazi… - … of Machine Learning …, 2024 - igi-global.com
An unmanned aerial vehicle (UAV) is a pilotless aircraft that is capable of flying and
maintaining altitude without the need for a human operator, offers more cost-efficient …

A deep learning trained by genetic algorithm to improve the efficiency of path planning for data collection with multi-UAV

Y Pan, Y Yang, W Li - Ieee Access, 2021 - ieeexplore.ieee.org
To collect data of distributed sensors located at different areas in challenging scenarios
through artificial way is obviously inefficient, due to the numerous labor and time. Unmanned …

Path Planning in UAV-Assisted Wireless Networks: A Comprehensive Survey and Open Research Issues

H Hnaien, A Aboud, H Touati, H Snoussi - International Conference on …, 2024 - Springer
UAV-assisted wireless networks are becoming more and more used and are invading many
fields thanks to their performance and efficiency. However, there are still some challenges …

UAVs and mobile sensors trajectories optimization with deep learning trained by genetic algorithm towards data collection scenario

Y Pan, Y Yang, H Liu, W Li - Mobile Networks and Applications, 2023 - Springer
In challenging environments like deserts and forests, without communication facilities, data
transmission is a key challenge. To solve this problem, data collection using Unmanned …

Path planning based on clustering and improved ACO in UAV-assisted wireless sensor network

Y Li, X Meng, F Ye, T Jiang, Y Li - 2020 IEEE USNC-CNC-URSI …, 2020 - ieeexplore.ieee.org
UAVs as mobile nodes have been introduced into wireless sensor network (WSN) to assist
information transmission and reduce the burden of communication. To minimize the path …