LAURA: LLM-Assisted UAV Routing for AoI Minimization

IEEE Wireless Communications Letters 2026

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Authors: Bisheng Wei, Ruichen Zhang, Ruihong Jiang, Mugen Peng, Dusit Niyato
DOI: 10.1109/lwc.2026.3673381
Cited by: 2
References: 14

Abstract

With the rapid growth of the low-altitude economy, demand for real-time data collection via UAV-assisted wireless sensor networks (WSNs) is increasing. This paper studies the problem of minimizing the age of information (AoI) in UAV-assisted WSNs by optimizing the UAV flight routing. We formulate the AoI minimization task and propose a large language model (LLM)-assisted UAV routing algorithm (LAURA). LAURA employs an LLM as the intelligent crossover operators within an evolutionary optimization framework to efficiently explore the solution space. Simulation results show that LAURA outperforms benchmark methods in reducing the maximum AoI, especially in scenarios with many sensor nodes.

Fields of Study & Subjects

UAV Applications and Optimization Air Traffic Management and Optimization Robotic Path Planning Algorithms

Publication details

Journal / source
IEEE Wireless Communications Letters
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
15
Pages
2174–2178
Publication date
1 January 2026
Language
EN