Timed automata with disjoint activity

Marco Muñiz*, Bernd Westphal, Andreas Podelski

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

10 Citations (Scopus)

Abstract

The behavior of timed automata consists of idleness and activity, i.e. delay and action transitions. We study a class of timed automata with periodic phases of activity. We show that, if the phases of activity of timed automata in a network are disjoint, then location reachability for the network can be decided using a concatenation of timed automata. This reduces the complexity of verification in Uppaal-like tools from quadratic to linear time (in the number of components) while traversing the same reachable state space. We provide templates which imply, by construction, the applicability of sequential composition, a variant of concatenation, which reflects relevant reachability properties while removing an exponential number of states. Our approach covers the class of TDMA-based (Time Division Multiple Access) protocols, e.g. FlexRay and TTP. We have successfully applied our approach to an industrial TDMA-based protocol of a wireless fire alarm system with more than 100 sensors.

Original languageEnglish
Title of host publicationFormal Modeling and Analysis of Timed Systems - 10th International Conference, FORMATS 2012, Proceedings
Number of pages16
Publication date1 Oct 2012
Pages188-203
ISBN (Print)9783642333644
DOIs
Publication statusPublished - 1 Oct 2012
Externally publishedYes
Event10th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2012 - London, United Kingdom
Duration: 18 Sept 201220 Sept 2012

Conference

Conference10th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2012
Country/TerritoryUnited Kingdom
CityLondon
Period18/09/201220/09/2012
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7595 LNCS
ISSN0302-9743

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