Consider a distributed sensing system that comprises two sensors, each observing a
random variable, and a remote estimator. The goal of the remote estimator is to produce …

We consider the problem of multiple sensor scheduling for remote state estimation of
multiple process over a shared link. In this problem, a set of sensors monitor mutually …

In this note we consider the following problem. Suppose a set of sensors is jointly trying to
estimate a process. One sensor takes a measurement at every time step and the …

This paper investigates sensor scheduling for state estimation of complex networks over
shared transmission channels. For a complex network of dynamical systems, referred to as …

This paper studies a networked state estimation problem for a spatially large linear system
with a distributed array of sensors, each of which offers partial state measurements. A lossy …

We consider sensor power scheduling for estimating the state of a general high-order Gauss-
Markov system. A sensor decides whether to use a high or low transmission power to …

This paper considers the problem of estimating the state of a remote system via a digital
communication channel with finite capacity. Classical estimation theory does not apply since …

This paper presents a novel design methodology for optimal transmission policies at a smart
sensor to remotely estimate the state of a stable linear stochastic dynamical system. The …

Wireless sensor networks (WSNs) enable a wealth of new applications where remote
estimation is essential. Individual sensors simultaneously sense a dynamic process and …

This paper is concerned with a distributed set-valued estimation problem in noisy sensor
networks with limited communication data rate. The sensors iterate a sample-quantize …