Indexation multidimensionnelle de bases de données capteur temps-réel et spatiotemporelles

Abstract : More and more risk monitoring systems use sensor networks linked to 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 criterion, it adds spatiotemporal specificities. So as to meet these requirements, this paper proposes 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
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01566820
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Submitted on : Friday, July 21, 2017 - 12:24:12 PM
Last modification on : Tuesday, February 26, 2019 - 4:25:29 PM

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  • HAL Id : hal-01566820, version 1

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Guillaume Noël, Sylvie Servigne. Indexation multidimensionnelle de bases de données capteur temps-réel et spatiotemporelles. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2005, 4, 10, pp.59-88. ⟨hal-01566820⟩

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