Drone swarm with free-space optical communication to detect and make deep decisions about physical problems for area surveillance

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dc.contributor.authorMazher, Wamidh Jalil
dc.contributor.authorIbrahim, Hadeel T.
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorBayat, Oğuz
dc.date.accessioned2021-05-15T12:41:56Z
dc.date.available2021-05-15T12:41:56Z
dc.date.issued2018
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.descriptionmazher, wamidh jalil/0000-0003-2092-3745; Al-Rayes, Hadeel/0000-0001-9749-4024
dc.description.abstractThis paper aims to design a drone swarm network by employing free-space optical (FSO) communication for detecting and deep decision making of topological problems (e.g., oil pipeline leak), where deep decision making requires the highest image resolution. Drones have been widely used for monitoring and detecting problems in industrial applications during which the drone sends images from the on-air camera video stream using radio frequency (RF) signals. To obtain higher-resolution images, higher bandwidth (BW) is required. The current study proposed the use of the FSO communication system to facilitate higher BW for higher image resolution. Moreover, the number of drones required to survey a large physical area exceeded the capabilities of RF technologies. Our configuration of the drones is V-shaped swarm with one leading drone called mother drone (DM). The optical decode-and-forward (DF) technique is used to send the optical payloads of all drones in V-shaped swarm to the single ground station through DM. Furthermore, it is found that the transmitted optical power (Pt) is required for each drone based on the threshold outage probability of FSO link failure among the onboard optical-DF drones. The bit error rate of optical payload is calculated based on optical-DF onboard processing. Finally, the number of drones required for different image resolutions based on the size of the considered topological area is optimized. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)en_US
dc.identifier.doi10.1117/1.OE.57.3.036116
dc.identifier.issn0091-3286
dc.identifier.issn1560-2303
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85044834149
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1117/1.OE.57.3.036116
dc.identifier.urihttps://hdl.handle.net/20.500.12939/873
dc.identifier.volume57en_US
dc.identifier.wosWOS:000429265500047
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherSpie-Soc Photo-Optical Instrumentation Engineersen_US
dc.relation.ispartofOptical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFSO Communicationen_US
dc.subjectAtmospheric Turbulenceen_US
dc.subjectOptical-DFen_US
dc.subjectMarginal Poweren_US
dc.subjectOptimizationen_US
dc.subjectCamera And Image Resolutionen_US
dc.titleDrone swarm with free-space optical communication to detect and make deep decisions about physical problems for area surveillance
dc.typeArticle

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WoS İndeksli Yayınlar Koleksiyonu
Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu
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