In this paper, we study a sampling and transmission scheduling problem for multi-source
remote estimation, where a scheduler determines when to take samples from multiple …

For monitoring applications, the Age of Information (AoI) metric has been the primary focus
of recent research, but closely related to monitoring is the problem of real-time or remote …

It has recently been shown that for the remote estimation problem, the sampling strategy that
minimizes the age of information (AoI) does not minimize the estimation error. We seek to …

Real-time sampling and estimation of autoregressive Markov processes is considered in
random access channels. Two classes of policies are studied:(i) oblivious policies in which …

In this article, we consider the problem of remote state estimation of a Gauss–Markov
process, where a sensor can, at each discrete time instant, transmit on one out of M different …

We address the problem of how to optimally schedule data packets over an unreliable
channel in order to minimize the estimation error of a simple-to-implement remote linear …

In this study, we generalize a problem of sampling a scalar Gauss Markov Process, namely,
the Ornstein-Uhlenbeck (OU) process, where the samples are sent to a remote estimator …

In this paper, we consider the problem of minimizing the age of information in a multi-source
system, where samples are taken from multiple sources and sent to a destination via a …

Recently, a connection between the age of information and remote estimation error was
found in a sampling problem of Wiener processes: If the sampler has no knowledge of the …

We consider a finite-state Discrete-Time Markov Chain (DTMC) source that can be sampled
for detecting the events when the DTMC transits to a new state. Our goal is to study the trade …