Dynamic resource allocation in smart agricultural IoT using reinforcement learning and 6g edge computing
Abstract Smart agricultural IoT systems face dynamic resource allocation challenges from device heterogeneity and environmental variability. In this paper, we propose a novel framework that combines 6G edge computing with reinforcement learning to optimise resource management. The framework exploits...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
SpringerOpen
2026-01-01
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| Rangatū: | EURASIP Journal on Wireless Communications and Networking |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1186/s13638-025-02563-9 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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