Distributed coordination model for smart sensing applications

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.