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dc.contributor.authorZhang, Xin
dc.contributor.authorHu, Yun
dc.contributor.authorChang, Zheng
dc.contributor.authorMin, Geyong
dc.date.accessioned2024-01-11T10:20:28Z
dc.date.available2024-01-11T10:20:28Z
dc.date.issued2023
dc.identifier.citationZhang, X., Hu, Y., Chang, Z., & Min, G. (2023). AoI-Minimal Power and Trajectory Optimization for UAV-Assisted Wireless Networks. In <i>WCNC 2023 : Proceedings of the IEEE Wireless Communications and Networking Conference</i>. IEEE. IEEE Wireless Communications and Networking Conference. <a href="https://doi.org/10.1109/WCNC55385.2023.10118798" target="_blank">https://doi.org/10.1109/WCNC55385.2023.10118798</a>
dc.identifier.otherCONVID_183532188
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/92684
dc.description.abstractIn this paper, we consider an Internet of Things (IoT) system where the employed unmanned aerial vehicle (UAV) carries edge computing server to perform data collection and execution for multiple IoT nodes (INs). For such a network, UAV trajectory and uplink transmission power optimization are integrated to minimize the Age of Information (AoI) of the results returned to all ground INs subject to energy consumption limitations. Due to the non-convex nature of the formulated problem, it is divided into two subproblems, which are respectively solved by Lagrangian dual and convex optimization methods, and block coordinate descent method is applied to solve the overall problem. Simulation results show that the proposed algorithm achieves the lowest average AoI of all INs compared with other schemes. The results also reveal the relationship between the average AoI and the number of INs and advantages of the proposed scheme.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofWCNC 2023 : Proceedings of the IEEE Wireless Communications and Networking Conference
dc.relation.ispartofseriesIEEE Wireless Communications and Networking Conference
dc.rightsIn Copyright
dc.titleAoI-Minimal Power and Trajectory Optimization for UAV-Assisted Wireless Networks
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202401111184
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTekniikkafi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineSecure Communications Engineering and Signal Processingfi
dc.contributor.oppiaineEngineeringen
dc.contributor.oppiaineMathematical Information Technologyen
dc.contributor.oppiaineSecure Communications Engineering and Signal Processingen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-1-6654-9123-5
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.relation.issn1525-3511
dc.type.versionacceptedVersion
dc.rights.copyright© 2023, IEEE
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceIEEE Wireless Communications and Networking Conference
dc.subject.ysomiehittämättömät ilma-alukset
dc.subject.ysoesineiden internet
dc.subject.ysoenergiankulutus (energiateknologia)
dc.subject.ysolangattomat verkot
dc.subject.ysooptimointi
dc.subject.ysolangaton tiedonsiirto
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p24149
jyx.subject.urihttp://www.yso.fi/onto/yso/p27206
jyx.subject.urihttp://www.yso.fi/onto/yso/p2382
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p5445
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/WCNC55385.2023.10118798
dc.type.okmA4


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