TY  - EJOU
AU  - Ahmed, Faareh 
AU  - Mansoor, Babar 
AU  - Javed, Muhammad Awais 
AU  - Saudagar, Abdul Khader Jilani 

TI  - An Efficient Content Caching Strategy for Fog-Enabled Road Side Units in Vehicular Networks
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2025
VL  - 144
IS  - 3
SN  - 1526-1506

AB  - 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.
KW  - Vehicular networks; fog computing; content caching; infotainment services

DO  - 10.32604/cmes.2025.069430