Comparative Analysis of Uppaal SMC, ns-3 and MATLAB/Simulink

Muhammad Naeem*, Michele Albano, Kim Guldstrand Larsen, Brian Nielsen

*Corresponding author for this work

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

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

IoT networks connect everyday devices to the internet to communicate with one another and humans. It is more cost-effective to analyse and verify the performance of the designed prototype before deploying these complex networks. Network Simulator 3 (ns-3), MATLAB/Simulink, and Uppaal SMC are three industry-leading tools that simulate communicating models, each with strengths and weaknesses. NS3 is suitable for large-scale network simulations, MATLAB/Simulink is suitable for complex models and data analysis, and Uppaal SMC is efficient for real-time probabilistic systems with complex timing requirements, This paper presents a comparative analysis of NS3 and MATLAB/Simulink and Uppaal SMC, based on a Sigfox-based case study, focusing on the behaviour of a single Sigfox node. The comparison is drawn on ease of use, flexibility, and scalability. The results can help researchers make informed decisions when designing and evaluating simulation experiments. They demonstrate that the choice of tool depends on the specific requirements of the simulation project and requires careful consideration of the strengths and weaknesses of each tool.

Original languageEnglish
Title of host publicationEngineering of Computer-Based Systems : 8th International Conference, ECBS 2023, Västerås, Sweden, October 16–18, 2023, Proceedings
EditorsJan Kofroň, Tiziana Margaria, Cristina Seceleanu
Number of pages17
PublisherSpringer
Publication date2024
Pages153-169
ISBN (Print)978-3-031-49251-8
ISBN (Electronic)978-3-031-49252-5
DOIs
Publication statusPublished - 2024
Event8th International Conference on Engineering of Computer-Based Systems, ECBS 2023 - Västerås, Sweden
Duration: 16 Oct 202318 Oct 2023

Conference

Conference8th International Conference on Engineering of Computer-Based Systems, ECBS 2023
Country/TerritorySweden
CityVästerås
Period16/10/202318/10/2023
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14390 LNCS
ISSN0302-9743

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Energy Model
  • IoT
  • Network Modelling
  • Network Simulators
  • Sigfox
  • WSN

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