Dynamic Formation for Unmanned Aerial Vehicles Network

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dc.authoridGormus, Sedat / 0000-0003-2172-2144
dc.authoridKiran, Harun Emre / 0000-0002-4076-7826
dc.authorwosidGormus, Sedat / AAS-1821-2021
dc.authorwosidKiran, Harun Emre / ABB-5986-2020
dc.authorwosidGormus, Sedat / AAK-4332-2021
dc.contributor.authorKiran, Harun Emre
dc.contributor.authorGormus, Sedat
dc.date.accessioned2021-11-01T15:01:57Z
dc.date.available2021-11-01T15:01:57Z
dc.date.issued2019
dc.department[Belirlenecek]
dc.description4th International Conference on Computer Science and Engineering (UBMK) -- SEP 11-15, 2019 -- Samsun, TURKEY
dc.description.abstractUnmanned aerial vehicles (UAVs) are becoming popular in realizing many civilian and military applications. Many conventional military applications require high-cost large and medium-sized UAVs. On the other hands, small UAVs can be adapted to many conventional military applications at a lower cost as compared to large UAVs. In this case, a swarm of small UAVs should carry out the task generally accomplished by large UAVs. Due to the fast movements of the UAVs in a swarm, the communications between the UAVs suffer packet drops due to frequent topology changes. This leads to challenges in maintaining the network topology required for inter-UAV communication. Data loss due to sudden topology changes is especially important for hot-spot areas generally located at the center of the topology. In this study, a balanced topology formation approach is proposed by taking the data traffic and node density of the UAV network into account. Furthermore, the network is divided into clusters with the aim of optimising the network delay and reducing packet drop rate. The results obtained from the clustering algorithm are compared with the previously proposed methods for UAV and mobile ad-hoc networks (MANET). The results have shown that the proposed method balances data traffic better and a reduced packet loss rate is achieved as compared to the previously proposed methods.
dc.description.sponsorshipIEEE, IEEE Turkey Secten_US
dc.identifier.endpage708en_US
dc.identifier.isbn978-1-7281-3964-7
dc.identifier.scopus2-s2.0-85076223154
dc.identifier.scopusqualityN/A
dc.identifier.startpage704en_US
dc.identifier.urihttps://hdl.handle.net/11491/6780
dc.identifier.wosWOS:000609879900133
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[Belirlenecek]
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2019 4Th International Conference On Computer Science And Engineering (Ubmk)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectUnmanned aerial vehicleen_US
dc.subjectCluster head selectionen_US
dc.subjectTopology formationen_US
dc.titleDynamic Formation for Unmanned Aerial Vehicles Network
dc.typeConference Object

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