The distributed nature of the Internet makes it difficult for a single service provider to
troubleshoot the disruptions experienced by its customers. We propose NetDiagnoser, a …

Nonadaptive group testing involves grouping arbitrary subsets of n items into different pools.
Each pool is then tested and defective items are identified. A fundamental question involves …

In this paper, motivated by network inference and tomography applications, we study the
problem of compressive sensing for sparse signal vectors over graphs. In particular, we are …

Routing protocols in sensor networks maintain information on neighbor states and
potentially many other factors in order to make informed decisions. Challenges arise both in …

This paper investigates the uniqueness of a nonnegative vector solution and the uniqueness
of a positive semidefinite matrix solution to underdetermined linear systems. A vector …

This paper applies inter-session variability modelling and joint factor analysis to face
authentication using Gaussian mixture models. These techniques, originally developed for …

Average consensus and gossip algorithms have recently received significant attention,
mainly because they constitute simple and robust algorithms for distributed information …

In the context of wireless data collection, a common application class in wireless sensor
networks, this paper presents a novel, non-intrusive algorithm for the precise reconstruction …

Digital ecosystems (DEs) are based on a large amount of distributed data, and these data
are gathered from physical devices, particularly from wireless sensor networks (WSNs). Due …

We consider an important problem of wireless sensor network (WSN) routing topology
inference/tomography from indirect measurements observed at the data sink. Previous …