2022 International Siberian Conference on Control and Communications (SIBCON) 2022
DOI: 10.1109/sibcon56144.2022.10002956
|View full text |Cite
|
Sign up to set email alerts
|

Case of Discrete-Event Simulation of the Simple Sensor Node with CPN Tools

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 24 publications
0
3
0
Order By: Relevance
“…So the modeling environment combines imperative and declarative development paradigms that makes it a lite, but effective tool to animate data flow diagrams. [53] This software package has found academic recognition as a visual and simple tool for formal modeling of telecommunications [55,56] and computing systems [57,58]. The merit of CPN Tools is the bulk of open documentation provided by the developers.…”
Section: Discrete-event Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…So the modeling environment combines imperative and declarative development paradigms that makes it a lite, but effective tool to animate data flow diagrams. [53] This software package has found academic recognition as a visual and simple tool for formal modeling of telecommunications [55,56] and computing systems [57,58]. The merit of CPN Tools is the bulk of open documentation provided by the developers.…”
Section: Discrete-event Modelmentioning
confidence: 99%
“…The up-to-date version of the CPN Tools model is available for free download via the ResearchGate social network [59]. Further updating of the model is planned in the context of the development of the project, and in the context of the introducing CPN IDE as a successor to CPN Tools.…”
Section: Availability Of the Software Modelmentioning
confidence: 99%
“…For our purpose we used CPN Tools which is a full framework dedicated for modeling and evaluating colored Petri networks, it has a large community both among researchers and developpers which makes it a favorable candidate for our modeling need [44].…”
Section: Formal Approachesmentioning
confidence: 99%