Context-Adaptive Vehicular Network Optimization - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2009

Context-Adaptive Vehicular Network Optimization

Abstract

We propose a framework to optimize the communication performance and mobility management in vehicular networks. By having a single unified decision algorithm taking into account both stack-related and external contextual information such as GPS localization or signaling from other nodes, advice can be provided to every layer in the network stack to allow for globally optimized, faster and more accurate adaptation to the current conditions. We present how key example scenarios would benefit from such a system. We describe an instance of this framework using a constraint satisfaction problem (CSP) approach. We also describe our prototype implementation of the network data collection system and give some timing evaluation for a given constraint solver.
Fichier principal
Vignette du fichier
2009mehani_context-adaptive_optimization.pdf (455.63 Ko) Télécharger le fichier
2009mehani_context-adaptive_optimization_slides.pdf (1.23 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Other

Dates and versions

inria-00426451 , version 1 (26-10-2009)

Identifiers

  • HAL Id : inria-00426451 , version 1

Cite

Olivier Mehani, Roksana Boreli, Thierry Ernst. Context-Adaptive Vehicular Network Optimization. ITST 2009, 9th International Conference on Intelligent Transport Systems Telecommunications, Oct 2009, Lille, France. pp.186-191. ⟨inria-00426451⟩
166 View
338 Download

Share

Gmail Facebook X LinkedIn More