DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach

Unmanned Aerial Vehicles (UAVs) possess high mobility and flexible deployment capabilities, prompting the development of UAVs for various application scenarios within the Internet of Things (IoT). The unique capabilities of UAVs give rise to increasingly critical and complex tasks in uncertain and p...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Tang, Xin, Chen, Qian, Weng, Wenjie, Liao, Binhan, Wang, Jiacheng, Cao, Xianbin, Li, Xiaohuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Energy consumption Flight Generative artificial intelligence Greedy algorithms Internet of Things Machine learning Multiagent systems Network latency Path planning Task complexity Taskload Uncertainty analysis Unmanned aerial vehicles
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