The restless multi-armed bandit problem is a paradigmatic modeling framework for optimal
dynamic priority allocation in stochastic models of wide-ranging applications that has been …

In this paper, we consider a remote inference system, where a neural network is used to
infer a time-varying target (eg, robot movement), based on features (eg, video clips) that are …

We consider a transmitter-receiver pair in a slotted-time system. The transmitter observes a
dynamic source and sends updates to a remote receiver through an error-free …

The Age of Incorrect Information (AoII) is a recently proposed metric for real-time remote
monitoring systems. In particular, AoII measures the time the information at the monitor is …

Remote sensing enables fast and cost-effective data collection and monitoring, but can be
subject to the injection of false data by adversaries. We consider a remote transmitter that is …

This paper explores the optimization of status updates in sensing systems, focusing on
misclassification in machine learning (ML) models. Previous research has primarily tackled …

In this study, we investigate a context-aware status updating system consisting of multiple
sensor-estimator pairs. A centralized monitor pulls status updates from multiple sensors that …

We consider a network with multiple sources and a base station that send time-sensitive
information to remote clients. The Age of Incorrect Information (AoII) captures the freshness …

We investigate the coexistence of task-oriented and data-oriented communications in an
Internet of Things system that shares a group of channels, and study the scheduling problem …

Recently, has been recognized that there is a practical limitation with the original notion of
Age of Information (AoI) metric in terms of quantifying the freshness of information content. A …