Polygamy based genetic algorithm for unmanned aerial vehicle (uav) power optimization: A proposal

AM Aibinu, HB Salau, CM Akachukwu… - 2014 11th …, 2014 - ieeexplore.ieee.org
One of the challenges in the operation of Unmanned Aerial Vehicle (UAV) is power
optimization under different operation mode. In solving the aforementioned problem …

Optimal power allocation for a wireless cooperative network with UAV

J Yan, X Deng, J Liu, L Wang - PeerJ Computer Science, 2022 - peerj.com
The main objective of this work was to investigate the optimal power allocation strategy in
the UAV cooperative wireless Decode and Forward (DF) relay network. Firstly, the outage …

[PDF][PDF] Optimization of Resource Allocation in Unmanned Aerial Vehicles Based on Swarm Intelligence Algorithms.

S Feng, Y Chen, M Huang, F Shu - Computers, Materials & …, 2023 - cdn.techscience.cn
Due to their adaptability, Unmanned Aerial Vehicles (UAVs) play an essential role in the
Internet of Things (IoT). Using wireless power transfer (WPT) techniques, an UAV can be …

Optimal path planning and power allocation for a long endurance solar-powered UAV

S Hosseini, R Dai, M Mesbahi - 2013 American Control …, 2013 - ieeexplore.ieee.org
In this paper the problem of optimal path planning and power allocation for an Unmanned
Aerial Vehicle (UAV) is explored. The UAV is equipped with photovoltaic cells on top of its …

Performance comparison of heuristic algorithms for UAV deployment with low power consumption

JW Cho, JH Kim - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
To minimize power consumption of UAV is one of the big challenges in the UAV deployment.
However, it is NP-hard problem due to the pathloss models for Air-to-Ground (A2G) in three …

Fitness function changes to improve performance in a GA used for multi-UAV tasking

MM Trujillo, K Duling, M Darrah… - 2015 workshop on …, 2015 - ieeexplore.ieee.org
Various methods have been utilized for the cooperative tasking of unmanned aerial vehicles
(UAVs), with the genetic algorithm (GA) being a technique that has proven to be versatile …

Flight path planning based on an improved genetic algorithm

J Xiao-Ting, X Hai-Bin, Z Li… - 2013 Third International …, 2013 - ieeexplore.ieee.org
Flight path planning for UAV is a complicated optimization problem with multiple constrains.
In this paper, an improved dual-population genetic algorithm (IDPGA) is proposed. It uses an …

Power allocation for enhancing energy efficiency in unmanned aerial vehicle networks

JTA Rose, CA Subasini, FSF Vinnarasi… - International Journal …, 2024 - Wiley Online Library
The non‐orthogonal multiple access (NOMA) wireless networks are a robust multi‐access
mechanism that serves multiple clients accessing the same resource block simultaneously …

Intelligent energy management for solar-powered unmanned aerial vehicle using multi-objective genetic algorithm

H Wang, P Li, H Xiao, X Zhou, R Lei - Energy Conversion and Management, 2023 - Elsevier
Comprehensive energy efficiency is the primary factor that determines the high-cruise
endurance of solar-powered unmanned aerial vehicles (UAVs). In this study, a complete …

The delivery assignment solution for swarms of UAVs dealing with multi-dimensional chromosome representation of genetic algorithm

KT San, EY Lee, YS Chang - 2016 IEEE 7th Annual Ubiquitous …, 2016 - ieeexplore.ieee.org
This paper describes the implementation steps used to assign a swarm of unmanned aerial
vehicles (UAVs) tasked to effectively deliver items to target locations. Several possible and …