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Optimal Content Downloading in Vehicular Networks

Abstract : We consider a system where users aboard communication-enabled vehicles are interested in downloading different contents from Internet-based servers. This scenario captures many of the infotainment services that vehicular communication is envisioned to enable, including news reporting, navigation maps and software updating, or multimedia file downloading. In this paper, we outline the performance limits of such a vehicular content downloading system by modelling the downloading process as an optimization problem, and maximizing the overall system throughput. Our approach allows us to investigate the impact of different factors, such as the roadside infrastructure deployment, the vehicle-to-vehicle relaying, and the penetration rate of the communication technology, even in presence of large instances of the problem. Results highlight the existence of two operational regimes at different penetration rates and the importance of an efficient, yet 2-hop constrained, vehicle- to-vehicle relaying.
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https://hal.inria.fr/hal-00741122
Contributor : Marco Fiore <>
Submitted on : Thursday, October 11, 2012 - 5:24:08 PM
Last modification on : Wednesday, July 8, 2020 - 12:43:19 PM

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Francesco Malandrino, Claudio Casetti, Carla-Fabiana Chiasserini, Marco Fiore. Optimal Content Downloading in Vehicular Networks. IEEE Transactions on Mobile Computing, Institute of Electrical and Electronics Engineers, 2013, 12 (7), ⟨10.1109/TMC.2012.115⟩. ⟨hal-00741122⟩

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