In this paper we tackle distributed detection of a localized phenomenon of interest (POI)
whose signature is sparse via a wireless sensor network. We assume that both the position …

In this paper, we consider distributed detection of sparse stochastic signals with quantized
measurements. Assume that both the noise and the dominant elements in sparse signals …

In this paper, we consider the problem of detection of sparse stochastic signals based on 1-
bit data with tree-structured sensor networks (TSNs). In the literature, distributed detection of …

In this paper, we consider the problem of detection of sparse stochastic signals with
quantized measurements in sensor networks. The observed sparse signals are assumed to …

We consider a distributed detection problem within a wireless sensor network (WSN), where
a substantial number of sensors cooperate to detect the existence of sparse stochastic …

In this paper, we explore the distributed detection of sparse signals in energy-limited
clustered sensor networks (CSNs). For this problem, the centralized detector based on …

We consider the distributed detection of weak signals from one-bit measurements collected
by a sensor network where observation model uncertainties exist at all the sensor nodes. To …

The problem of identifying regions of spatially interesting, different or adversarial behavior is
inherent to many practical applications involving distributed multisensor systems. In this …

We develop a resource-efficient framework for collaborative decision-making over
distributed sensor networks by proposing a novel over-the-air soft information aggregation …

In this letter, we consider the detection of sparse stochastic signals with sensor networks
(SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then …