Performance Boundaries of Massive Floating Car Data Offloading - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2014

Performance Boundaries of Massive Floating Car Data Offloading

Abstract

Floating Car Data (FCD) consist of information generated by moving vehicles and uploaded to Internet-based control centers for processing and analysis. As upcoming mobile services based on or built for networked vehicles largely rely on uplink transfers of small-sized but high-frequency messages, FCD traffic is expected to become increasingly common in the next few years. Presently, FCD are managed through a traditional cellular network paradigm : however, the scalability of such a model is unclear in the face of massive FCD upload, involving large fractions of the vehicles over short time intervals. In this paper, we explore the use of vehicle-to-vehicle (V2V) communication to partially relieve the cellular infrastructure from FCD traffic. Specifically, we study the performance boundaries of such a FCD offloading approach in presence of best- and worst-case data aggregation possibilities at vehicles. We show the gain that can be obtained by offloading FCD via vehicular communication, and propose a simple distributed heuristic that has nearly optimal performance under any FCD aggregation model.
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Dates and versions

hal-01005015 , version 1 (11-06-2014)

Identifiers

Cite

Silvia Ancona, Razvan Stanica, Marco Fiore. Performance Boundaries of Massive Floating Car Data Offloading. WONS - 11th IEEE/IFIP Annual Conference on Wireless On-demand Network Systems and Services, Apr 2014, Obergurgl, Austria. pp.89 - 96, ⟨10.1109/WONS.2014.6814727⟩. ⟨hal-01005015⟩
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