Sistema Distribuído para Gerenciamento de Informação e Distribuição de Conhecimento em Redes Veiculares
Abstract
In Intelligent Transportation System (ITS), the periodic information exchange between vehicles is of vital importance to provide services in a vehicular environment. Typically, ITS applies this practice to extract knowledge about the vehicle traffic condition and to distribute knowledge. Although the solutions designed to use this approach reach the main goal, distribution of knowledge, they do not worry about selection of the most relevant vehicle in the network to perform the task of knowledge extraction. In these solutions the extraction can be carried out by any vehicle, consequently, it could easily cause a network overhead, thus, generating a highly redundant traffic of knowledge in the network. With this in mind, we propose the SDGI, a system for information management and knowledge distribution, which applies the egocentric betweenness measure, with the purpose of selecting the most relevant vehicle to carry out the knowledge generation. The results have shown that the SDGI outperforms solutions found in the literature at different requirements.
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