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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27276
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dc.contributor.authorKalinagac, Onur-
dc.contributor.authorGür, Gürkan-
dc.contributor.authorAlagöz, Fatih-
dc.date.accessioned2023-03-11T12:57:09Z-
dc.date.available2023-03-11T12:57:09Z-
dc.date.issued2023-
dc.identifier.issn1424-8220de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27276-
dc.description.abstractUnder demanding operational conditions such as traffic surges, coverage issues, and low latency requirements, terrestrial networks may become inadequate to provide the expected service levels to users and applications. Moreover, when natural disasters or physical calamities occur, the existing network infrastructure may collapse, leading to formidable challenges for emergency communications in the area served. In order to provide wireless connectivity as well as facilitate a capacity boost under transient high service load situations, a substitute or auxiliary fast-deployable network is needed. Unmanned Aerial Vehicle (UAV) networks are well suited for such needs thanks to their high mobility and flexibility. In this work, we consider an edge network consisting of UAVs equipped with wireless access points. These software-defined network nodes serve a latency-sensitive workload of mobile users in an edge-to-cloud continuum setting. We investigate prioritization-based task offloading to support prioritized services in this on-demand aerial network. To serve this end, we construct an offloading management optimization model to minimize the overall penalty due to priority-weighted delay against task deadlines. Since the defined assignment problem is NP-hard, we also propose three heuristic algorithms as well as a branch and bound style quasi-optimal task offloading algorithm and investigate how the system performs under different operating conditions by conducting simulation-based experiments. Moreover, we made an open-source contribution to Mininet-WiFi to have independent Wi-Fi mediums, which were compulsory for simultaneous packet transfers on different Wi-Fi mediums.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofSensorsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectUAV networkde_CH
dc.subjectEdge computingde_CH
dc.subjectTask offloadingde_CH
dc.subjectVehicular communicationde_CH
dc.subjectSDNde_CH
dc.subjectEmergency computingde_CH
dc.subject.ddc629: Luftfahrt- und Fahrzeugtechnikde_CH
dc.titlePrioritization based task offloading in UAV-assisted edge networksde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.3390/s23052375de_CH
dc.identifier.doi10.21256/zhaw-27276-
zhaw.funding.euNode_CH
zhaw.issue5de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start2375de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume23de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedInformation Securityde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Kalinagac, O., Gür, G., & Alagöz, F. (2023). Prioritization based task offloading in UAV-assisted edge networks. Sensors, 23(5), 2375. https://doi.org/10.3390/s23052375
Kalinagac, O., Gür, G. and Alagöz, F. (2023) ‘Prioritization based task offloading in UAV-assisted edge networks’, Sensors, 23(5), p. 2375. Available at: https://doi.org/10.3390/s23052375.
O. Kalinagac, G. Gür, and F. Alagöz, “Prioritization based task offloading in UAV-assisted edge networks,” Sensors, vol. 23, no. 5, p. 2375, 2023, doi: 10.3390/s23052375.
KALINAGAC, Onur, Gürkan GÜR und Fatih ALAGÖZ, 2023. Prioritization based task offloading in UAV-assisted edge networks. Sensors. 2023. Bd. 23, Nr. 5, S. 2375. DOI 10.3390/s23052375
Kalinagac, Onur, Gürkan Gür, and Fatih Alagöz. 2023. “Prioritization Based Task Offloading in UAV-Assisted Edge Networks.” Sensors 23 (5): 2375. https://doi.org/10.3390/s23052375.
Kalinagac, Onur, et al. “Prioritization Based Task Offloading in UAV-Assisted Edge Networks.” Sensors, vol. 23, no. 5, 2023, p. 2375, https://doi.org/10.3390/s23052375.


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