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Article dans une revue

Intelligent flood adaptive context-aware system: How wireless sensors adapt their configuration based on environmental phenomenon events

Abstract : Henceforth, new generations of Wireless Sensor Networks (WSN) have to be able to adapt their behavior to collect, from the study phenomenon, quality data for long periods of time. We have thus proposed a new formalization for the design and the implementation of context-aware systems relying on a WSN for the data collection. To illustrate this proposal, we also present an environmental use case: the study of flood events in a watershed. In this paper, we detail the simulation tool that we have developed in order to implement our model. We simulate several scenarios of context-aware systems to monitor a watershed. The data used for the simulation are the observation data of the French Orgeval watershed.
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Article dans une revue
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https://hal.inrae.fr/hal-02605241
Déposant : Migration Irstea Publications <>
Soumis le : samedi 16 mai 2020 - 10:41:08
Dernière modification le : jeudi 22 octobre 2020 - 11:30:08

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  • HAL Id : hal-02605241, version 1
  • IRSTEA : PUB00051956

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Jie Sun, Gil de Sousa, Catherine Roussey, Jean-Pierre Chanet, François Pinet, et al.. Intelligent flood adaptive context-aware system: How wireless sensors adapt their configuration based on environmental phenomenon events. Sensors & Transducers., IFSA Publishing, S.L., 2016, 206 (11), pp.68-81. ⟨hal-02605241⟩

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