<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/B69FD991-5B70-4F94-A0D4-1EFDBD8EE9C5"><efrbr-work:titleOfTheWork>Enabling wireless-powered IoT through incentive-based UAV swarm orchestration</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/B69FD991-5B70-4F94-A0D4-1EFDBD8EE9C5"><efrbr-expression:titleOfTheExpression>Enabling wireless-powered IoT through incentive-based UAV swarm orchestration</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2025-07-11</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2023</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>The rapidly growing demand for vast numbers of Internet of Things (IoT), in both urban and rural areas, necessitates their ceaseless and automatic energy supply. This is particularly vital in cases where the IoT sensors are deployed in distant or dangerous locations outside human reach. In this direction, unmanned aerial vehicles (UAVs) with wireless power transfer (WPT) capabilities can address this issue, due to their flexible deployment. To this end, we devise an architecture in which a UAV swarm covers the energy demand of an IoT network, while concurrently, the UAVs fulfil their energy needs through a charging station (CS) infrastructure. A practical energy model is considered, which takes into account the UAVs’ battery level, energy consumption due to transition to different locations, hovering, and WPT. Also, to capture the UAV-CS interaction, an economic model is introduced. The UAVs aim to maximize their profit by transferring energy to the IoT, while the CSs aim to maximize their profit by recharging the UAVs. To ensure a profit-wise stable CS-UAV association, while providing energy coverage to the IoT, we formulate a many-to-one matching game. Due to inter-dependencies between UAVs’ utilities, i.e., externalities, a matching algorithm with two-sided exchange-stability is proposed. To further evaluate the considered system, we design an optimization scheme which performs the UAV-CS assignment towards maximizing the energy coverage of the IDs. Numerical results showcase the matching algorithm’s ability to provide near-optimal energy coverage to the IDs, while balancing fairness among the competing agents’ profit, compared to the optimization scheme.</efrbr-expression:summarizationOfContent><efrbr-expression:contextForTheExpression>This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 891515 (HERMES) and Grant 957406 (TERMINET).</efrbr-expression:contextForTheExpression><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by-nc-nd/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">IEEE Open Journal of the Communications Society</efrbr-expression:note><efrbr-expression:note type="journal volume">4</efrbr-expression:note><efrbr-expression:note type="page range">2548-2560</efrbr-expression:note></efrbr-expression:expression><efrbr-manifestation:manifestation identifier="https://dias.library.tuc.gr/view/103831"><efrbr-manifestation:titleOfTheManifestation>Mekikis_et_al_IEEE Open J. Commun. Soc._4_2023.pdf</efrbr-manifestation:titleOfTheManifestation><efrbr-manifestation:publicationDistribution><efrbr-manifestation:placeOfPublicationDistribution type="distribution">Chania [Greece]</efrbr-manifestation:placeOfPublicationDistribution><efrbr-manifestation:publisherDistributor type="distributor">Library of TUC</efrbr-manifestation:publisherDistributor><efrbr-manifestation:dateOfPublicationDistribution>2025-07-11</efrbr-manifestation:dateOfPublicationDistribution></efrbr-manifestation:publicationDistribution><efrbr-manifestation:formOfCarrier>application/pdf</efrbr-manifestation:formOfCarrier><efrbr-manifestation:extentOfTheCarrier>1.8 MB</efrbr-manifestation:extentOfTheCarrier><efrbr-manifestation:accessRestrictionsOnTheManifestation>free</efrbr-manifestation:accessRestrictionsOnTheManifestation></efrbr-manifestation:manifestation><efrbr-person:person identifier="08D739C9-8B86-4F5A-8AC0-D40145E22D23"><efrbr-person:nameOfPerson vocabulary="">
            Mekikis Prodromos-Vasileios
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            Bouzinis Pavlos
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="BA9E3C5D-95DA-4921-B122-7F33F44B51DB"><efrbr-person:nameOfPerson vocabulary="">
            Mitsiou Nikos Α.
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            Tegos Sotiris A.
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            Tyrovolas Dimitrios
            Τυροβολας Δημητριος
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            Papanikolaou Vasilis K.
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            Karagiannidis George K.
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            Institute of Electrical and Electronics Engineers
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            Internet of Things
         </efrbr-concept:termForTheConcept></efrbr-concept:concept><efrbr-concept:concept identifier="0400E920-10FA-4D1B-98F2-86D207D26699"><efrbr-concept:termForTheConcept>
            UAV swarm
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            Stable matching with externalities
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            Charging stations
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            Wireless power transfer
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