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dc.contributor.authorAdam, Evşen Yanmaz
dc.date.accessioned2021-02-05T21:25:13Z
dc.date.available2021-02-05T21:25:13Z
dc.date.issued2020
dc.identifier.issn1300-0632en_US
dc.identifier.urihttp://hdl.handle.net/10679/7273
dc.identifier.urihttps://journals.tubitak.gov.tr/elektrik/abstract.htm?id=27557
dc.description.abstractIn this paper, we analyze the mission success performance and mission times of centralized, distributed, and hybrid path-planning methods for a drone team whose mission is to find a target and inform the ground control. We propose two methods that integrate connectivity into the search mission path decisions. We observe that even though the coverage path-planning leads to lower search times, when target connectivity is also required, schemes that incorporate end-end connectivity into path planning result in at least 50% better mission times for small communication ranges and lower number of drones. Our results also indicate that methods to efficiently allocate resources to search and communication tasks in mission-oriented drone networks need to be designed.en_US
dc.publisherTÜBİTAKen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciences
dc.rightsopenAccess
dc.titleConnectivity considerations for mission planning of a search and rescue drone teamen_US
dc.typeArticleen_US
dc.description.versionPublisher versionen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-2983-1978 & YÖK ID 281150) Yanmaz, Evşen
dc.contributor.ozuauthorAdam, Evşen Yanmaz
dc.identifier.volume28en_US
dc.identifier.issue4en_US
dc.identifier.startpage2228en_US
dc.identifier.endpage2243en_US
dc.identifier.wosWOS:000553764300001
dc.identifier.doi10.3906/elk-1912-46en_US
dc.subject.keywordsDronesen_US
dc.subject.keywordsUnmanned aerial vehiclesen_US
dc.subject.keywordsPath planningen_US
dc.subject.keywordsTarget detectionen_US
dc.subject.keywordsMonitoringen_US
dc.subject.keywordsSwarmsen_US
dc.subject.keywordsNetworkingen_US
dc.identifier.scopusSCOPUS:2-s2.0-85090153831
dc.contributor.authorFemale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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