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Soft Computing

, Volume 22, Issue 8, pp 2547–2555 | Cite as

A GA-based simulation system for WMNs: comparison analysis for different number of flows, client distributions, DCF and EDCA functions

  • Admir Barolli
  • Tetsuya Oda
  • Keita Matsuo
  • Miralda Cuka
  • Leonard Barolli
  • Fatos Xhafa
Methodologies and Application
First Online:

Abstract

In this paper, we compare the performance of Distributed Coordination Function (DCF) and Enhanced Distributed Channel Access (EDCA) for normal and uniform distributions of mesh clients considering two Wireless Mesh Network (WMN) architectures. As evaluation metrics, we consider throughput, delay, jitter and fairness index metrics. For simulations, we used WMN-GA simulation system, ns-3 and Optimized Link State Routing. The simulation results show that for normal distribution, the throughput of I/B WMN is higher than Hybrid WMN architecture. For uniform distribution, in case of I/B WMN, the throughput of EDCA is a little bit higher than Hybrid WMN. However, for Hybrid WMN, the throughput of DCF is higher than EDCA. For normal distribution, the delay and jitter of Hybrid WMN are lower compared with I/B WMN. For uniform distribution, the delay and jitter of both architectures are almost the same. However, in the case of DCF for 20 flows, the delay and jitter of I/B WMN are lower compared with Hybrid WMN. For I/B architecture, in case of normal distribution the fairness index of DCF is higher than EDCA. However, for Hybrid WMN, the fairness index of EDCA is higher than DCF. For uniform distribution, the fairness index of few flows is higher than others for both WMN architectures.

Keywords

Genetic Algorithms Wireless Mesh Networks ns-3 Normal distribution Uniform distribution DCF EDCA 
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Notes

Acknowledgements

This study was not funded by any grant.

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical standard

This article does not contain any studies with human participants performed by any of the authors.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Aleksander Moisiu University of DurresDurresAlbania
  2. 2.Fukuoka Institute of Technology (FIT)Higashi-kuJapan
  3. 3.Technical University of CataloniaBarcelonaSpain

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