2017
DOI: 10.1007/978-3-662-54577-5_2
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An Abstraction Technique for Parameterized Model Checking of Leader Election Protocols: Application to FTSP

Abstract: Abstract. We consider distributed timed systems that implement leader election protocols which are at the heart of clock synchronization protocols. We develop abstraction techniques for parameterized model checking of such protocols under arbitrary network topologies, where nodes have independently evolving clocks. We apply our technique for model checking the root election part of the flooding time synchronisation protocol (FTSP), and obtain improved results compared to previous work. We model check the proto… Show more

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Cited by 2 publications
(2 citation statements)
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“…The flooding time synchronization protocol (FTSP) is a leader election algorithm for multi-hop wireless sensor networks used for clock synchronization [40], and has been the subject of formal verification before [41,34]. We consider the abstract model used in [48] for parameterized verification allowing one to verify the model for a large number of topologies. Our algorithm was faster for the model with 3 processes, although none of the tools scaled to 4 processes.…”
Section: Methodsmentioning
confidence: 99%
“…The flooding time synchronization protocol (FTSP) is a leader election algorithm for multi-hop wireless sensor networks used for clock synchronization [40], and has been the subject of formal verification before [41,34]. We consider the abstract model used in [48] for parameterized verification allowing one to verify the model for a large number of topologies. Our algorithm was faster for the model with 3 processes, although none of the tools scaled to 4 processes.…”
Section: Methodsmentioning
confidence: 99%
“…The flooding time synchronization protocol (FTSP) is a leader election algorithm for multi-hop wireless sensor networks used for clock synchronization [33], and has been the subject of formal verification before [34,35]. We consider the abstract model used in [36] for parameterized verification allowing one to verify the model for a large number of topologies. Our algorithm was faster for the model with 3 processes, although none of the tools scaled to 4 processes.…”
Section: Description Of Benchmarksmentioning
confidence: 99%