Sampling-based Decentralized Monitoring for Networked Embedded Systems

TL;DR

This paper introduces a sampling-based decentralized monitoring approach for networked embedded systems, incorporating timing considerations to ensure consistent local traces, supported by a timed model and a practical case study.

Contribution

It extends previous theoretical algorithms by integrating sampling time considerations using a timed UPPAAL model for networked embedded systems.

Findings

Developed a timed model in UPPAAL for decentralized monitoring

Demonstrated the approach with a case study on embedded hardware

Addressed the challenge of setting sampling times for consistency

Abstract

Decentralized monitoring (DM) refers to a monitoring technique, where each component must infer, based on a set of partial observations if the global property is satisfied. Our work is inspired by the theoretical results presented by Baurer and Falcone at FM 2012, where the authors introduced an algorithm for distributing and monitoring LTL formulae, such that satisfaction or violation of specifications can be detected by local monitors alone. However, their work is based on the main assumption that neither the computation nor communication take time, hence it does not take into account how to set a sampling time among the components such that their local traces are consistent. In this work we provide a timed model in UPPAAL and we show a case study on a networked embedded systems board.