Distributed coordination model for smart sensing applications

Abstract : Distributed networks of smart sensors are nowadays representing the frontier of Machine-to-Machine (M2M) interoperability. In such a scenario several challenges must be addressed in order to create effective solutions. Coordination among nodes to satisfy monitoring purposes while addressing network constraints is considered of utmost importance. In this respect, the paper proposes a novel coordination model for self-organizing smart monitoring systems. The proposed algorithm is able to autonomously retrieve event correlations from the environment in order to coordinate the nodes. By relying on temporal and spatial correlations, the proposed system can be particularly suited for Smart Camera Network (SCN) deployments where multiple cameras monitor distributed targets. Along the algorithm definition, the paper presents a performance evaluation of the proposed approach through simulations, thus evaluating the robustness of the proposed model against message losses.
Type de document :
Communication dans un congrès
10th International Conference on Distributed Smart Camera, Sep 2016, Paris, France. pp.110-115, 2016, 〈10.1145/2967413.2967438〉
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https://hal.archives-ouvertes.fr/hal-01626468
Contributeur : Francois Berry <>
Soumis le : lundi 30 octobre 2017 - 19:46:55
Dernière modification le : mardi 11 septembre 2018 - 16:56:02

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Luca Maggiani, Lobna Ben Khelifa, Jean-Charles Quinton, Matteo Petracca, Paolo Pagano, et al.. Distributed coordination model for smart sensing applications. 10th International Conference on Distributed Smart Camera, Sep 2016, Paris, France. pp.110-115, 2016, 〈10.1145/2967413.2967438〉. 〈hal-01626468〉

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