Open Access

ARTICLE

An Efficient Content Caching Strategy for Fog-Enabled Road Side Units in Vehicular Networks

Faareh Ahmed¹, Babar Mansoor², Muhammad Awais Javed³, Abdul Khader Jilani Saudagar^4,*

1 School of Electrical Engineering and Computer Sciences, National University of Sciences and Technology, Islamabad, 44000, Pakistan
2 Department of Computer Engineering, COMSATS University, Islamabad, 45550, Pakistan
3 Department of Electrical Engineering, COMSATS University, Islamabad, 45550, Pakistan
4 Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia

* Corresponding Author: Abdul Khader Jilani Saudagar. Email:

(This article belongs to the Special Issue: Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications)

Computer Modeling in Engineering & Sciences 2025, 144(3), 3783-3804. https://doi.org/10.32604/cmes.2025.069430

Received 23 June 2025; Accepted 27 August 2025; Issue published 30 September 2025

Abstract

Vehicular networks enable seamless connectivity for exchanging emergency and infotainment content. However, retrieving infotainment data from remote servers often introduces high delays, degrading the Quality of Service (QoS). To overcome this, caching frequently requested content at fog-enabled Road Side Units (RSUs) reduces communication latency. Yet, the limited caching capacity of RSUs makes it impractical to store all contents with varying sizes and popularity. This research proposes an efficient content caching algorithm that adapts to dynamic vehicular demands on highways to maximize request satisfaction. The scheme is evaluated against Intelligent Content Caching (ICC) and Random Caching (RC). The obtained results show that our proposed scheme entertains more content-requesting vehicles as compared to ICC and RC, with 33% and 41% more downloaded data in 28% and 35% less amount of time from ICC and RC schemes, respectively.

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Keywords

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