PUVC: A novel position-based VANET caching framework built upon UAVs association
Loughborough University Research Repository (Loughborough University) · 2026
Abstract
<p dir="ltr">The rapid adoption of vehicular communication technologies has driven the development of the Vehicular Ad Hoc Network (VANET), which supports applications such as congestion control and resource allocation and serves as a critical component of automotive cyber-physical and industrial communication networks. Despite enhanced On- Board Units (OBUs), the VANET faces challenges from limited communication range, storage capacity, and highly dynamic topology, which collectively degrade Quality of Service (QoS) and increase network link load. In-network caching improves QoS by distributing content closer to vehicles. Meanwhile, recent advancements have refined VANET caching methodologies by enhancing traditional strategies, such as probabilistic caching, and integrating innovative communication frameworks, including Software-Defined Networking (SDN) and Named Data Networking (NDN). However, existing schemes often suffer from limited coverage and redundant rebroadcasts. To address these challenges, this paper proposes PUVC, a position-based UAV-assisted VANET caching framework in which a Central UAV disseminates popular content and Sub-UAVs maintain backups based on vehicle location and received signal strength. Road-constrained UAV mobility further improves transmission efficiency and mitigates topology-induced QoS degradation. Simulations in urban and highway scenarios show that PUVC reduces link load by over 74%, increases local satisfaction by more than 77%, and decreases data retrieval latency by 55%, demonstrating its effectiveness for QoS-aware industrial vehicular communication systems.
Citation
Yuanchen Li (17098615), Lin Guan (1256946), Ziyang Zhang (223533) and George Vogiatzis. “PUVC: A novel position-based VANET caching framework built upon UAVs association.” Loughborough University Research Repository (Loughborough University). 2026.
BibTeX
@article{170986152026,
title = {PUVC: A novel position-based VANET caching framework built upon UAVs association},
author = {Yuanchen Li (17098615) and Lin Guan (1256946) and Ziyang Zhang (223533) and George Vogiatzis},
journal = {Loughborough University Research Repository (Loughborough University)},
year = {2026},
}