Spatio-temporal semantic enhancements for event model of cyber-physical systems

Yuying Wang, Xingshe Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The newly emerging cyber-physical systems (CPS) discover events from multiple, distributed sources with multiple levels of detail and heterogeneous data format, which may not be compare and integrate, and turn to hardly combined determination for action. While existing efforts have mainly focused on investigating a uniform CPS event representation with spatio-temporal attributes, in this paper we propose a new event model with two-layer structure, Basic Event Model (BEM) and Extended Information Set (EIS). A BEM could be extended with EIS by semantic adaptor for spatio-temporal and other attribution enhancement. In particular, we define the event process functions, like event attribution extraction and composition determination, for CPS action trigger exploit the Complex Event Process (CEP) engine Esper. Examples show that such event model provides several advantages in terms of extensibility, flexibility and heterogeneous support, and lay the foundations of event-based system design in CPS.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages813-818
Number of pages6
ISBN (Electronic)9781479952748
DOIs
StatePublished - 15 Dec 2014
Event2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014 - Guilin, Guangxi, China
Duration: 5 Aug 20148 Aug 2014

Publication series

Name2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014

Conference

Conference2014 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2014
Country/TerritoryChina
CityGuilin, Guangxi
Period5/08/148/08/14

Keywords

  • Complex Event Process
  • Cyber-physical systems
  • event modeling
  • event semantic
  • spatio-temporal event

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