In a large-scale wireless sensor network, it is typically impossible to use all the sensors to
localize a source due to the limited communication range and battery power of the sensor …

This paper investigates the selection of a subset of sensors for time difference of arrival
(TDOA) localization under the non-line-of-sight (NLOS) condition in wireless sensor …

In large-scale wireless acoustic sensor networks (WASNs), many of the sensors will only
have a marginal contribution to a certain estimation task. Involving all sensors increases the …

Multiple-input multiple-output (MIMO) radar is known for its superiority over conventional
radar due to its antenna and waveform diversity. Although higher angular resolution …

In this paper, the focus is on subsampling as well as reconstructing the second-order
statistics of signals residing on nodes of arbitrary undirected graphs. Second-order …

We consider the problem of designing sparse sampling strategies for multidomain signals,
which can be represented using tensors that admit a known multilinear decomposition. We …

This paper focuses on optimal sensor deployment for indoor localization with a multi-
objective evolutionary algorithm. Our goal is to obtain an algorithm to deploy sensors taking …

We propose a sensor selection method for time difference of arrival and angle of arrival
localization scenario. When the number of available sensors is given, we select the …

In this paper, we consider the problem of subsampling and reconstruction of signals that
reside on the vertices of a product graph, such as sensor network time series, genomic …

In today's society, we are flooded with massive volumes of data in the order of a billion
gigabytes on a daily basis from pervasive sensors. It is becoming increasingly challenging to …