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...

Full description

Saved in:
Bibliographic Details
Main Authors: Shakhatreh H., Khreishah A., Alsarhan A., Khalil I., Sawalmeh A., Othman N.S.
Other Authors: 57193610106
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
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