Passerelle intelligente pour réseaux de capteurs sans fil contraints

Abstract : Low-Power and Lossy Network (LLN)s are constrained networks composed by nodes with little resources (memory, CPU, battery). Those networks are typically used to provide real-time measurement of their environment in various contexts such as home automation or smart cities. LLNs connect to other networks by using a gateway that can host various enhancing features due to its key location between constrained and unconstrained devices. This thesis shows three contributions aiming to improve the reliability and performance of a LLN by using its gateway. The first contribution introduce a non-intrusive estimator of a node radio usage by observing its network traffic passing through the gateway. The second contribution offers to determine the validity time of an information within a cache placed at the gateway to reduce the load on LLNs nodes by doing a trade-off between energy cost and efficiency. Finally, we present Makesense, an open source framework for reproducible experiments that can document, execute and analyze a complete LLN experiment on simulation or real nodes from a unique description.
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Rémy Leone. Passerelle intelligente pour réseaux de capteurs sans fil contraints. Réseaux et télécommunications [cs.NI]. Télécom ParisTech, 2016. Français. ⟨NNT : 2016ENST0038⟩. ⟨tel-02120824⟩

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