Performance evaluation of self-similar models for traffic on IEEE 802.11 networks - study of case for the QRD network

  • Evelio Astaiza Hoyos Universidad del Quindío
  • Héctor Fabio Bermúdez Orozco Universidad del Quindío
  • Diego Fernando Salgado Castro Universidad del Quindío
Keywords: QRD, WLAN, MAC, Time slot, Contention window, Self-similarity, Traffic, Correlation, Goodness of fit test, Sniffer

Abstract

This paper evaluates the performance of fractal or self-similar traffic models in IEEE 802.11 networks. This study is focused on the “Quindio Región Digital” (QRD) network. Performance evaluation of the traffic models is performed in three stages. In the first stage, we obtain the statistical characteristics of the current traffic on the QRD network. In the second stage, the most suitable traffic models are selected for the current characteristics of the QRD network such as outof-saturation operation and management of heterogeneous traffic. In the third stage, we define a performance metric that is used to evaluate the traffic patterns through simulation.

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Author Biographies

Evelio Astaiza Hoyos, Universidad del Quindío

PhD(c) Procesado de señales y las comunicaciones, Universidad de Vigo-España. MsC. Ingeniería, área de telecomunicaciones, Universidad del Cauca. Profesor Asistente - Universidad del Quindío. Investigador grupo GITUQ

Héctor Fabio Bermúdez Orozco, Universidad del Quindío

PhD(c) Procesado de señales y las comunicaciones, Universidad de Vigo-España. MsC Electrónica y Telecomunicaciones, Universidad del Cauca. Profesor Asistente - Universidad del Quindío. Investigador grupo GITUQ

Diego Fernando Salgado Castro, Universidad del Quindío

Ingeniero Electrónico, Universidad del Quindío, Grupo GITUQ

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Published
2012-07-01
How to Cite
Astaiza Hoyos, E., Bermúdez Orozco, H., & Salgado Castro, D. (2012). Performance evaluation of self-similar models for traffic on IEEE 802.11 networks - study of case for the QRD network. ITECKNE, 9(2), 33-39. https://doi.org/https://doi.org/10.15332/iteckne.v9i2.2755
Section
Research and Innovation Articles