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.
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Communication dans un congrès
Marion Berbineau, Makoto Itami, and Guangjun Wen. ITST 2009, 9th International Conference on Intelligent Transport Systems Telecommunications, Oct 2009, Lille, France. pp.186-191, 2009
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Contributeur : Olivier Mehani <>
Soumis le : lundi 26 octobre 2009 - 14:12:18
Dernière modification le : vendredi 25 mai 2018 - 12:02:03
Document(s) archivé(s) le : mardi 16 octobre 2012 - 12:40:55

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  • HAL Id : inria-00426451, version 1

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Olivier Mehani, Roksana Boreli, Thierry Ernst. Context-Adaptive Vehicular Network Optimization. Marion Berbineau, Makoto Itami, and Guangjun Wen. ITST 2009, 9th International Conference on Intelligent Transport Systems Telecommunications, Oct 2009, Lille, France. pp.186-191, 2009. 〈inria-00426451〉

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