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We consider the transmission of confidential data over wireless channels with multiple communicating parties. Based on an information-theoretic problem formulation in which two legitimate partners communicate over a quasi-static fading channel and an eavesdropper observes their transmission through another independent quasi-static fading channel, we define(More)
Recent results from statistical physics show that large classes of complex networks, both man-made and of natural origin, are characterized by high clustering properties yet strikingly short path lengths between pairs of nodes. Breaking with the traditional approach to these so called small worlds that relies mainly on graph parameters directly related to(More)
Small-world graphs, exhibiting high clustering co-efficients and small average path length, have been shown to capture fundamental properties of a large number of natural and man-made networks. In the context of communication networks, navigable small-world topologies, i.e. those which admit efficient distributed routing algorithms, are deemed particularly(More)
We present a physical layer approach aimed at providing information-theoretic security in wireless communication systems. Our secret key agreement scheme, which uses state-of-the-art error correcting codes and borrows ideas from quantum key distribution such as Gaussian reconciliation and privacy amplification, is capable of exploiting the physical(More)
Consider a directed graph, in which vertices represent sensor nodes, and edges represent a discrete memoryless channel of a given capacity over which two neighbors nodes can communicate. The channels are independent. Each node gets to observe one element of a set of discrete sources of information drawn i.i.d., according to some joint probability(More)
Short-term traffic prediction provides tools for improved road management by allowing the reduction of delays, incidents and other unexpected events. Different real-time approaches provide traffic managers with varying but valuable information. This paper reviews the literature regarding model-driven and data-driven approaches focusing on short-term(More)
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