Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9015
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dc.contributor.authorOgutcu O.-
dc.contributor.authorYuksel M.-
dc.date.accessioned2022-11-30T19:26:29Z-
dc.date.available2022-11-30T19:26:29Z-
dc.date.issued2022-
dc.identifier.isbn9.78167E+12-
dc.identifier.issn1550-2252-
dc.identifier.urihttps://doi.org/10.1109/VTC2022-Spring54318.2022.9860437-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/9015-
dc.descriptionHuawei;Nokia;pix moving;Samsung;Technology Innovation Institute (TII)en_US
dc.description95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring -- 19 June 2022 through 22 June 2022 -- -- 182307en_US
dc.description.abstractData collection with unmanned aerial vehicles (UAVs) is a novel technology with many practical applications. In this paper, UAV aided data collection in sensor networks for time-critical applications is considered. Maximum age of information (AoI) is used as the performance metric, where both communication time and flight time contribute to AoI. Given that sensors form groups of two, the UAV aims to visit each line segment formed by the two sensors in each group once and to return to the data center. To minimize the maximum AoI, two trajectory design algorithms are proposed. In both algorithms, the UAV communicates with the sensors in each group through a multiple access channel. In the first algorithm, the UAV hovers on the communication time optimal point on the line segment. In the second algorithm, it hovers on the path-length optimal point. The algorithms are compared with time sharing schemes, and also with the case when all sensors are visited individually. The results reveal that multiple access transmission is optimal, when sensors are not too far apart and packet lengths are long, whereas path-length optimal trajectory is better when packet lengths are short. © 2022 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Vehicular Technology Conferenceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAge of informationen_US
dc.subjectmultiple access channelen_US
dc.subjectsensor networken_US
dc.subjectunmanned aerial vehicleen_US
dc.subjectAntennasen_US
dc.subjectData acquisitionen_US
dc.subjectUnmanned aerial vehicles (UAV)en_US
dc.subjectVehicle to vehicle communicationsen_US
dc.subjectAerial vehicleen_US
dc.subjectAge of informationen_US
dc.subjectCommunication timeen_US
dc.subjectData collectionen_US
dc.subjectLine-segmentsen_US
dc.subjectMultiple access channelsen_US
dc.subjectOptimal pointsen_US
dc.subjectPathlengthsen_US
dc.subjectSensors networken_US
dc.subjectUnmanned aerial vehicleen_US
dc.subjectSensor networksen_US
dc.titleMultiple Access Communications for Age Minimization in Uav Aided Data Collectionen_US
dc.typeConference Objecten_US
dc.identifier.volume2022-Juneen_US
dc.identifier.wosWOS:000861825800072en_US
dc.identifier.scopus2-s2.0-85137787239en_US
dc.identifier.doi10.1109/VTC2022-Spring54318.2022.9860437-
dc.authorscopusid57885826400-
dc.authorscopusid7006176085-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
dc.ozel2022v3_Editen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.5. Department of Electrical and Electronics Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Öğrenci Yayınları / Students' Publications
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