- Tytuł:
- TS-based Mobility-aware Multi-hierarchical Caching Model with Vehicle Clustering and Content Popularity Prediction
- Autorzy:
-
Baghiani, Radouane
Guezouli, Lyamine
Korichi, Ahmed - Tematy:
-
clustering
Internet of Vehicles
machine learning
mobile edge computing
multi-hierarchical caching
Thompson sampling learning - Pokaż więcej
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Powiązania:
- https://bibliotekanauki.pl/articles/58906711.pdf Link otwiera się w nowym oknie
- Opis:
- This research is concerned with the fusion of artificial intelligence (AI) and machine learning within multi-hierarchical caching systems, specifically targeting vehicular and edge caching domains. This study introduces an innovative architecture harmonizing Thompson sampling learning-based caching policies with advanced vehicle clustering and content-popularity prediction methods (TS-MMCM). Simulations show substantial performance improvements and a big impact of the proposed approach on system efficiency in dynamic network environments. The proposal demonstrates a notable gain in cache hit rates and decreased latency levels, highlighting the potential of AI to improve caching techniques in dynamic network environments.
- Dostawca treści:
- Biblioteka Nauki
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