Teaching Modelling and Analysis of Communication Networks using OMNeT++ Simulator

13 pages•Published: October 23, 2018

Koojana Kuladinithi, Raphael Elsner, Leo Krüger, Sebastian Lindner, Christoph Petersen, Daniel Plöger, Zeynep Vatandas and Andreas Timm-Giel

Abstract

At the Hamburg University of Technology, Germany, the modelling of communication networks using the OMNeT++ simulator and the INET framework is taught for Master students. Teaching the concepts of simulation and modelling while letting the students obtain a hands-on experience during a 14-week (4h/week) period (single semester) is a challenging task. The diversity of the pre-knowledge of the participating students and the duration of the course are the main challenges that need to be addressed when organising such a course. This paper discusses the structure of this course and the best practices followed. The course adopts a methodology where lectures on concepts are mixed with INET based exercises that begin with simple topics and gradually moving into advanced topics.

Keyphrases: analysis of communication networks, omnet simulator, teaching

In: Anna Förster, Asanga Udugama, Antonio Virdis and Giovanni Nardini (editors). Proceedings of the 5th International OMNeT++ Community Summit, vol 56, pages 111-123.

Links:	https://easychair.org/publications/paper/13ck
	https://doi.org/10.29007/xtt6

BibTeX entry

@inproceedings{OMNeT2018:Teaching_Modelling_Analysis_Communication,
  author    = {Koojana Kuladinithi and Raphael Elsner and Leo Krüger and Sebastian Lindner and Christoph Petersen and Daniel Plöger and Zeynep Vatandas and Andreas Timm-Giel},
  title     = {Teaching Modelling and Analysis of Communication Networks using OMNeT++ Simulator},
  booktitle = {Proceedings of the 5th International OMNeT++ Community Summit},
  editor    = {Anna Förster and Asanga Udugama and Antonio Virdis and Giovanni Nardini},
  series    = {EPiC Series in Computing},
  volume    = {56},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/13ck},
  doi       = {10.29007/xtt6},
  pages     = {111-123},
  year      = {2018}}

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