Wireless sensor networks (WSNs) are vulnerable to eavesdropping as the sensor nodes
(SNs) communicate over an open radio channel. Intelligent reflecting surface (IRS) …

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 …

Novel techniques are conceived for joint compressive sensing (CS) and low-density parity
check (LDPC) coding in wireless sensor networks (WSNs), namely, a soft-input soft-output …

In this paper, we investigate the problem of distributed detection of sparse signals in
wireless sensor networks (WSNs) with censoring sensors in the presence of an …

The wireless sensor networks is a new technology for information acquisition and
processing, which includes the techniques of sensor, computer, Internet of Things and …

This paper presents a novel sparse signal detection scheme designed for a correlated
Markovian Bernoulli-Gaussian sparse signal model, which can equivalently be viewed as a …

This paper examines data injection attacks on distributed statistical estimation. We consider
a dynamically changing distributed network consisting of N agents exchanging information …

In this paper, an asymptotic bound on the recovery error probability of a sparse signal is
derived for the orthogonal matching pursuit algorithm. The proposed bound is based on the …