We consider distributed parameter estimation using quantized observations in wireless
sensor networks (WSNs) where, due to bandwidth constraint, each sensor quantizes its local …

In this paper, we consider the problem of sensor fusion over networks with asymmetric links,
where the common goal is linear parameter estimation. For the scenario of bandwidth …

We consider distributed estimation of a random scalar parameter in a power constrained
wireless sensor network (WSN), where the measurements are sent from the sensors to the …

We consider distributed estimation of a deterministic vector parameter from noisy sensor
observations in a wireless sensor network (WSN). The observation noise is assumed …

In this paper, we present an algorithm to estimate the relative acoustic transfer function
(RTF) of a target source in wireless acoustic sensor networks (WASNs). Two well-known …

We consider the problem of distributed estimation in a power constrained collaborative
wireless sensor network (WSN), where the network is divided into a set of sensor clusters …

This paper considers the problem of power-efficient distributed estimation of vector
parameters related to localized phenomena so that both sensor selection and routing …

Internet of Things (IoT) can significantly enhance various aspects of today's electric power
grid infrastructures for making reliable, efficient, and safe next-generation Smart Grids (SGs) …

In wireless acoustic sensor networks (WASNs), sensors typically have a limited energy
budget as they are often battery-driven. Energy efficiency is, therefore, essential for the …

In this letter, we propose a decentralized framework for rate-distributed linearly constrained
minimum variance (LCMV) beamforming in wireless acoustic sensor networks. To save the …