Context-aware Status Updating: Wireless Scheduling for Maximizing Situational Awareness in Safety-critical Systems
Tasmeen Zaman Ornee, Md Kamran Chowdhury Shisher, Clement Kam, and Yin, Sun

TL;DR
This paper develops a novel framework for context-aware status updating in safety-critical systems, optimizing wireless scheduling to minimize situational awareness penalties caused by communication delays and errors.
Contribution
It introduces a new penalty function based on Age of Information and observed signals, and proposes an asymptotically optimal scheduling algorithm using RMAB relaxation.
Findings
Achieves up to 100x performance improvement over periodic updates.
Provides a fundamental performance bound for the system.
Valid for both reliable and unreliable communication channels.
Abstract
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 are monitoring several safety-critical situations (e.g., carbon monoxide density in forest fire detection, machine safety in industrial automation, and road safety). Based on the received sensor updates, multiple estimators determine the current safety-critical situations. Due to transmission errors and limited communication resources, the sensor updates may not be timely, resulting in the possibility of misunderstanding the current situation. In particular, if a dangerous situation is misinterpreted as safe, the safety risk is high. In this paper, we introduce a novel framework that quantifies the penalty due to the unawareness of a potentially dangerous situation. This situation-unaware penalty…
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Taxonomy
TopicsAge of Information Optimization · Health, Environment, Cognitive Aging · Congenital Heart Disease Studies
