We consider distributed estimation of a random source in a hierarchical power constrained
wireless sensor network. Sensors within each cluster send their measurements to a cluster …

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 …

We derive robust linear filtering and experimental design for systems governed by stochastic
differential equations (SDEs) under model uncertainty. Given a model of signal and …

In this paper, quantizer design for weak-signal detection under arbitrary binary channel in
generalized Gaussian noise is studied. Since the performances of the generalized likelihood …

The distributed Bayesian vector parameter estimation problem based on low-resolution
observations is investigated in a network, where each node represents an ensemble of …

This article considers the problem of distributed estimation in wireless sensor networks
(WSNs), which is anticipated to support a wide range of applications, such as the …

This article develops novel approaches for designing robust transceivers and energy
covariance in an IoT network (IoTNe) powered by energy harvesting (EH). Our goal is to …

We consider a Neyman-Pearson (NP) distributed binary detection problem in a bandwidth
constrained wireless sensor network, where the fusion center (FC) makes a final decision …

In this brief, we consider an uncertainty in the linear measurement model of the distributed
estimation problem. To deal with this uncertainty, the uncertainty vector is estimated along …

We consider a distributed signal estimation problem in a wireless sensor network where
each node aims to estimate a node-specific desired signal using all sensor signals available …