Indexation multidimensionnelle de bases de données capteur temps-réel et spatio-temporelles

More and more risk monitoring systems use sensor databases. These systems usually consist of an array of sensors sending their measurements toward a central database. The measurement frequency as well as the user requirements impose soft real-time constraints to the database, and tend to set the focus on the newest data. As for the need to access the data through spatial criterium, it adds spatiotemporal specificities. So as to meet these requirements, this paper propose two data access methods. The first one, dedicated to systems with a high number of data from fixed sensors is named the PoTree. Its evolution, the PasTree, focuses on sensor agility management and adding new querying patterns. MOTS­CLÉS : Système d'indexation, Base de données capteur, Spatiotemporel, Temps­réel