To efficiently support the fast-growing demand for transmission capacity, optical packet-switched systems seem to be strong candidates as they allow fast dynamic allocation ofWDM channels combined with a high degree of statistical resource sharing. In this work, we propose the architecture of an optical packet switching node, equipped with a shared fiber delay line buffer, for all-optical switching of IP traffic flows. Some traffic simulations results of node operation are also presented.

We propose a distributed Kalman filter for a sensor network under model uncertainty. The distributed scheme is characterized by two communication stages in each time step: in the first stage, the local units exchange their observations and then they can compute their local estimate; in the final stage, the local units exchange their local estimate and compute the final estimate using a diffusion scheme. Each local estimate is computed in order to be optimal according to the least favorable model belonging to a prescribed local ambiguity set. The latter is a ball, in the Kullback–Liebler topology, about the corresponding nominal local model. We propose a strategy to compute the radius, called local tolerance, for each local ambiguity set in the sensor network, rather than keep it constant across the network. Finally, some numerical examples show the effectiveness of the proposed scheme.

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