Resource Optimization in UAV-assisted IoT Networks: The Role of Generative AI
<|reference_start|>Resource Optimization in UAV-assisted IoT Networks: The Role of Generative AI: We investigate how generative Artificial Intelligence (AI) can be used to optimize resources in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) networks. In particular, generative AI models for real-time decision-making have been used in public safety scenarios. This work describes how generative AI models can improve resource management within UAV-assisted networks. Furthermore, this work presents generative AI in UAV-assisted networks to demonstrate its practical applications and highlight its broader capabilities. We demonstrate a real-life case study for public safety, demonstrating how generative AI can enhance real-time decision-making and improve training datasets. By leveraging generative AI in UAV- assisted networks, we can design more intelligent, adaptive, and efficient ecosystems to meet the evolving demands of wireless networks and diverse applications. Finally, we discuss challenges and future research directions associated with generative AI for resource optimization in UAV-assisted networks.<|reference_end|>
@article{sharif2024resource,
    title={Resource Optimization in UAV-assisted IoT Networks: The Role of
  Generative AI},
    author={Sana Sharif, Sherali Zeadally, and Waleed Ejaz},
    journal={arXiv preprint arXiv:2405.03863},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.03863},
    primaryClass={eess.SY cs.NI cs.SY}
}