Alexander Veremyev

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Recent reports suggest that evolving large-scale networks exhibit "explosive percolation": a large fraction of nodes suddenly becomes connected when sufficiently many links have formed in a network. This phase transition has been shown to be continuous (second-order) for most random network formation processes, including classical mean-field random networks(More)
We consider several classes of problems that deal with optimizing the performance of dynamic sensor networks used for area surveillance, in particular, in the presence of uncertainty. The overall efficiency of a sensor network is addressed from the aspects of minimizing the overall information losses, as well as ensuring that all nodes in a network form a(More)