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dc.contributor.authorXu, Runchen
dc.contributor.authorChang, Zheng
dc.contributor.authorZhang, Xinran
dc.contributor.authorHämäläinen, Timo
dc.date.accessioned2024-04-16T05:56:07Z
dc.date.available2024-04-16T05:56:07Z
dc.date.issued2024
dc.identifier.citationXu, R., Chang, Z., Zhang, X., & Hämäläinen, T. (2024). Blockchain-Based Resource Trading in Multi-UAV Edge Computing System. <i>IEEE Internet of Things Journal</i>, <i>Early Access</i>. <a href="https://doi.org/10.1109/jiot.2024.3375918" target="_blank">https://doi.org/10.1109/jiot.2024.3375918</a>
dc.identifier.otherCONVID_207688927
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/94304
dc.description.abstractUnmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) systems have emerged as a promising technology with the capability to expand terrestrial networks. UAVs, working as edge computing nodes and mobile base stations, can be deployed closer to user equipment (UEs). However, with the rapid increase of UEs, the scarcity of spectrum resources and computing resources has become a critical challenge for future mobile communication systems. Additionally, the inherent characteristics of wireless transmission and untrusted broadcasting pose significant security and privacy concerns for multi-UAV networks. To address these issues, this paper presents a blockchain-based resource trading mechanism (BRTM) and a double auction-based resource trading algorithm (DARA) for multi-UAV edge computing systems. It combines blockchain technology with double auction theory to ensure the security and fairness of resource trading. The relations between UEs and UAVs as a two-stage Stackelberg game is formulated and a pricing-based incentive strategy is proposed. The proposed scheme encourages active participation from both UEs and UAVs while maximizing the sum of their utilities. The security assessment and numerical outcomes show that the proposed method is effective and outperforms other benchmark schemes.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseriesIEEE Internet of Things Journal
dc.rightsIn Copyright
dc.subject.otherautonomous aerial vehicles
dc.subject.otherblockchains
dc.subject.othersecurity
dc.subject.otheredge computing
dc.subject.otherresource management
dc.subject.otherinternet of things
dc.subject.othertask analysis
dc.titleBlockchain-Based Resource Trading in Multi-UAV Edge Computing System
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202404162923
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn2372-2541
dc.relation.volumeEarly Access
dc.type.versionacceptedVersion
dc.rights.copyright© 2024 IEEE.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoturvallisuus
dc.subject.ysoesineiden internet
dc.subject.ysolohkoketjut
dc.subject.ysoreunalaskenta
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p7349
jyx.subject.urihttp://www.yso.fi/onto/yso/p27206
jyx.subject.urihttp://www.yso.fi/onto/yso/p38227
jyx.subject.urihttp://www.yso.fi/onto/yso/p39139
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/jiot.2024.3375918
jyx.fundinginformationThis work is partly supported by the National Natural Science Foundation of China (NSFC) under Grant 62071105.
dc.type.okmA1


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