URI | http://purl.tuc.gr/dl/dias/B69FD991-5B70-4F94-A0D4-1EFDBD8EE9C5 | - |
Αναγνωριστικό | https://doi.org/10.1109/OJCOMS.2023.3323031 | - |
Αναγνωριστικό | https://ieeexplore.ieee.org/document/10275044 | - |
Γλώσσα | en | - |
Μέγεθος | 13 pages | en |
Τίτλος | Enabling wireless-powered IoT through incentive-based UAV swarm orchestration | en |
Δημιουργός | Mekikis Prodromos-Vasileios | en |
Δημιουργός | Bouzinis Pavlos | en |
Δημιουργός | Mitsiou Nikos Α. | el |
Δημιουργός | Tegos Sotiris A. | en |
Δημιουργός | Tyrovolas Dimitrios | en |
Δημιουργός | Τυροβολας Δημητριος | el |
Δημιουργός | Papanikolaou Vasilis K. | en |
Δημιουργός | Karagiannidis George K. | en |
Εκδότης | Institute of Electrical and Electronics Engineers | en |
Περιγραφή | This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 891515 (HERMES) and Grant 957406 (TERMINET). | en |
Περίληψη | 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. | en |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
Ημερομηνία | 2025-07-11 | - |
Ημερομηνία Δημοσίευσης | 2023 | - |
Θεματική Κατηγορία | Internet of Things | en |
Θεματική Κατηγορία | UAV swarm | en |
Θεματική Κατηγορία | Stable matching with externalities | en |
Θεματική Κατηγορία | Charging stations | en |
Θεματική Κατηγορία | Wireless power transfer | en |
Βιβλιογραφική Αναφορά | P. -V. Mekikis, P. S. Bouzinis, N. A. Mitsiou, S. A. Tegos, D. Tyrovolas, V. K. Papanikolaou, and G. K. Karagiannidis, "Enabling wireless-powered IoT through incentive-based UAV swarm orchestration," IEEE Open J. Commun. Soc., vol. 4, pp. 2548-2560, 2023, doi: 10.1109/OJCOMS.2023.3323031. | en |