Abstract
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 dis-cuss challenges and future research directions associated with generative AI for resource optimization in UAV-assisted networks.
Original language | English |
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Pages (from-to) | 34-41 |
Number of pages | 8 |
Journal | IEEE Internet of Things Magazine |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Information Systems