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An optimized proactive caching scheme based on mobility prediction for vehicular networks

Abstract : Information-centric networking (ICN), a new networking paradigm in which the focal point is a named data, has been proposed recently as an evolving concept to the actual host-centric model of the Internet that relies mainly on host addresses. In vehicular networks, where vehicles are generally moving network elements and follow a content-oriented fashion, it will be fitting to use the ICN paradigm to improve the content dissemination and reduce the content retrieval latency. By applying this concept to such networks, we focus in this paper on the content delivery issue and propose an optimized caching scheme that proactively predicts the moving direction of a vehicle and brings into the next encountered RSU cache only the required content of interest to that vehicle. According to the obtained results from different measured metrics, the proposed solution outperforms in many ways other proposed schemes in the literature. For instance, our scheme improves drastically the cache utilization, enhances the network delay, and boosts the content diversity and distribution
Keywords : Optimization
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Conference papers
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Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School Connect in order to contact the contributor
Submitted on : Wednesday, February 27, 2019 - 11:49:25 AM
Last modification on : Friday, April 10, 2020 - 4:56:46 PM



Hakima Khelifi, Senlin Luo, Boubakr Nour, Akrem Sellami, Hassine Moungla, et al.. An optimized proactive caching scheme based on mobility prediction for vehicular networks. GLOBECOM 2018: IEEE Global Communications Conference, Dec 2018, Abu Dhabi, United Arab Emirates. pp.1 - 6, ⟨10.1109/GLOCOM.2018.8647898⟩. ⟨hal-02050618⟩



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