Timing Side Information Aided Real-Time Monitoring of Discrete-Event Systems

Siyuan Yu, Wei Chen, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Industrial Internet of Things (IIoT) has attracted considerable attention recently due to its potential application in factory automation e.g., of manufacturing or production systems. As most manufacturing operations can be modeled by discrete event systems (DESs), how to monitor a DES remotely and in a timely manner through sensors and communication links needs investigation in IIoT. In this paper, we present a lossless data compression method for real-time monitoring of DESs. In particular, we find that timing side information (TSI) is available in delay-constrained communications. Based on the TSI, the data rate required to describe a DES can be substantially reduced. To this end, we derive the minimum data rate of a DES as a conditional entropy from an information-theoretic perspective. Low complexity compression algorithms are also developed. Both analytical and numerical results demonstrate the TSI-enabled compression gain in three typical scenarios.

Original languageEnglish (US)
Title of host publication2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728181042
DOIs
StatePublished - 2021
Event2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain
Duration: Dec 7 2021Dec 11 2021

Publication series

Name2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings

Conference

Conference2021 IEEE Global Communications Conference, GLOBECOM 2021
Country/TerritorySpain
CityMadrid
Period12/7/2112/11/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Health Informatics

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