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Efficient 3D placement of a UAV using particle swarm optimization

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dc.citedby77
dc.contributor.authorShakhatreh H.en_US
dc.contributor.authorKhreishah A.en_US
dc.contributor.authorAlsarhan A.en_US
dc.contributor.authorKhalil I.en_US
dc.contributor.authorSawalmeh A.en_US
dc.contributor.authorOthman N.S.en_US
dc.contributor.authorid57193610106en_US
dc.contributor.authorid24776009900en_US
dc.contributor.authorid35118743100en_US
dc.contributor.authorid7006211430en_US
dc.contributor.authorid57194440590en_US
dc.contributor.authorid56426823300en_US
dc.date.accessioned2023-05-29T06:38:37Z
dc.date.available2023-05-29T06:38:37Z
dc.date.issued2017
dc.descriptionMobile 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)en_US
dc.description.abstractUnmanned 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7921981
dc.identifier.doi10.1109/IACS.2017.7921981
dc.identifier.epage263
dc.identifier.scopus2-s2.0-85020170998
dc.identifier.spage258
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020170998&doi=10.1109%2fIACS.2017.7921981&partnerID=40&md5=315e5e048b693a59d2d93d96b0d8b96c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23230
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitle2017 8th International Conference on Information and Communication Systems, ICICS 2017
dc.titleEfficient 3D placement of a UAV using particle swarm optimizationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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