Özet
Unmanned air vehicles are becoming widespread, driven by improved wireless technologies. However, the WiFi technology used for communication has a highly crowded and unevenly distributed channel occupancy in its spectrum. To overcome this, WiFi resources need to be utilized efficiently. Therefore, this paper proposes the Opportunistic Reinforcement Learning-based WiFi Access scheme, which exploits intermittent channel occupancy to solve the NP-hard channel assignment problem. As a result, the proposed model has improved the accurate channel selection on the UAVs by 9%, performing 91% accuracy, compared to the trivial channel scoring-based selection algorithms.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9798350302523 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2023 |
Harici olarak yayınlandı | Evet |
Etkinlik | 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023 - Istanbul, Turkey Süre: 25 Tem 2023 → 27 Tem 2023 |
Yayın serisi
Adı | 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023 |
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???event.eventtypes.event.conference??? | 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023 |
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Ülke/Bölge | Turkey |
Şehir | Istanbul |
Periyot | 25/07/23 → 27/07/23 |
Bibliyografik not
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