Efficient 3D placement of a UAV using particle swarm optimization
Mobile telecommunication systems; Optimization; Particle swarm optimization (PSO); Tall buildings; Wireless networks; 3-D placements; Cellular network; Disaster situations; High rise building; Indoor path loss; Total transmit power; Wireless base stations; Wireless coverage; Unmanned aerial vehicles...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-23230 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-232302023-05-29T14:38:37Z Efficient 3D placement of a UAV using particle swarm optimization Shakhatreh H. Khreishah A. Alsarhan A. Khalil I. Sawalmeh A. Othman N.S. 57193610106 24776009900 35118743100 7006211430 57194440590 56426823300 Mobile telecommunication systems; Optimization; Particle swarm optimization (PSO); Tall buildings; Wireless networks; 3-D placements; Cellular network; Disaster situations; High rise building; Indoor path loss; Total transmit power; Wireless base stations; Wireless coverage; Unmanned aerial vehicles (UAV) Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stations when cellular networks go down. Prior studies on UAV-based wireless coverage typically consider an Air-To-Ground path loss model, which assumes that the users are outdoor and they are located on a 2D plane. In this paper, we propose using a single UAV to provide wireless coverage for indoor users inside a high-rise building under disaster situations (such as earthquakes or floods), when cellular networks are down. We assume that the locations of indoor users are uniformly distributed in each floor and we propose a particle swarm optimization algorithm to find an efficient 3D placement of a UAV that minimizes the total transmit power required to cover the indoor users. � 2017 IEEE. Final 2023-05-29T06:38:37Z 2023-05-29T06:38:37Z 2017 Conference Paper 10.1109/IACS.2017.7921981 2-s2.0-85020170998 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020170998&doi=10.1109%2fIACS.2017.7921981&partnerID=40&md5=315e5e048b693a59d2d93d96b0d8b96c https://irepository.uniten.edu.my/handle/123456789/23230 7921981 258 263 All Open Access, Green Institute of Electrical and Electronics Engineers Inc. Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Mobile telecommunication systems; Optimization; Particle swarm optimization (PSO); Tall buildings; Wireless networks; 3-D placements; Cellular network; Disaster situations; High rise building; Indoor path loss; Total transmit power; Wireless base stations; Wireless coverage; Unmanned aerial vehicles (UAV) |
author2 |
57193610106 |
author_facet |
57193610106 Shakhatreh H. Khreishah A. Alsarhan A. Khalil I. Sawalmeh A. Othman N.S. |
format |
Conference Paper |
author |
Shakhatreh H. Khreishah A. Alsarhan A. Khalil I. Sawalmeh A. Othman N.S. |
spellingShingle |
Shakhatreh H. Khreishah A. Alsarhan A. Khalil I. Sawalmeh A. Othman N.S. Efficient 3D placement of a UAV using particle swarm optimization |
author_sort |
Shakhatreh H. |
title |
Efficient 3D placement of a UAV using particle swarm optimization |
title_short |
Efficient 3D placement of a UAV using particle swarm optimization |
title_full |
Efficient 3D placement of a UAV using particle swarm optimization |
title_fullStr |
Efficient 3D placement of a UAV using particle swarm optimization |
title_full_unstemmed |
Efficient 3D placement of a UAV using particle swarm optimization |
title_sort |
efficient 3d placement of a uav using particle swarm optimization |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2023 |
_version_ |
1806424347614642176 |
score |
13.222552 |