Dynamic Polygon Generation for Flexible Pattern Formation in Large-Scale UAV Swarm Networks

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dc.authoridCengiz, Korhan/0000-0001-6594-8861
dc.authoridRaja, Gunasekaran/0000-0002-2253-7648
dc.authoridYu, Keping/0000-0001-5735-2507
dc.authoridCengiz, Korhan/0000-0001-6594-8861
dc.authorwosidCengiz, Korhan/ABD-5559-2020
dc.authorwosidRaja, Gunasekaran/AAD-8076-2022
dc.authorwosidYu, Keping/GVT-7847-2022
dc.authorwosidCengiz, Korhan/HTN-8060-2023
dc.contributor.authorRaja, Gunasekaran
dc.contributor.authorKottursamy, Kottilingam
dc.contributor.authorTheetharappan, Ajay
dc.contributor.authorCengiz, Korhan
dc.contributor.authorGanapathisubramaniyan, Aishwarya
dc.contributor.authorKharel, Rupak
dc.contributor.authorYu, Keping
dc.date.accessioned2024-06-12T11:16:57Z
dc.date.available2024-06-12T11:16:57Z
dc.date.issued2020
dc.departmentTrakya Üniversitesien_US
dc.descriptionIEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus -- DEC 07-11, 2020 -- ELECTR NETWORKen_US
dc.description.abstractA UAV swarm network is a network formed by aggregating a large number of UAVs and coordinate them to execute a specific mission, especially in areas where human intervention is not physically possible or economically viable. The process of coordinating and maintaining a UAV swarm network has various phases. The pattern formation phase is one of the important phases and is highly significant in missions where geography is an important aspect of the mission. For the purpose of automating the pattern generation process, this paper proposes the dynamic polygon generation (DPGen) algorithm that can generate convex polygonal pattern with any number of vertices in linear time. The DPGen algorithm generates a pattern dynamically for any number of drones which increases the scalability of the UAV swarm networks, increasing the magnitude of use-cases of the swarm. The DPGen algorithm contains a mechanism to use this algorithm in a decentralized manner while balancing the load on all the UAVs in the network. The usage of DPGen algorithm reduces the network traffic in the UAV swarm network by 78.26% and decreases the power requirement of the leader drone by 74.39%.en_US
dc.description.sponsorshipIEEE,IEEE Commun Soc,Chunghwa Telecom,Foxconn,Huawei,Mediatek,6G Off,Askey,Ericsson,FET Qualcomm,Taiwan Mobile,Auden Techno Corp,Keysight Technologies,Telecom Technol Ctr,NIen_US
dc.identifier.doi10.1109/GCWkshp50303.2020.9367501
dc.identifier.isbn978-1-7281-7307-8
dc.identifier.issn2166-0069
dc.identifier.scopus2-s2.0-85102959357en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/GCWkshp50303.2020.9367501
dc.identifier.urihttps://hdl.handle.net/20.500.14551/24502
dc.identifier.wosWOS:000662202100109en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 Ieee Globecom Workshops (Gc Wkshps)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectUnmanned Aerial Vehiclesen_US
dc.subjectUAV Swarm Networksen_US
dc.subjectPolygonal Patternsen_US
dc.subjectDpgenen_US
dc.subjectDecentralized Pattern Maintainanceen_US
dc.titleDynamic Polygon Generation for Flexible Pattern Formation in Large-Scale UAV Swarm Networksen_US
dc.typeConference Objecten_US

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