Mecanismo de Sintonización Para la Optimización de IEEE 802.11e EDCA (Tuning Mechanism For IEEE 802.11e EDCA Optimization)

Santiago Cristobal Perez (, Higinio Alberto Facchini (, Luis Alberto Bisaro (, Javier Campos (

1Universidad Tecnológica Nacional
2Universidad Tecnológica Nacional
3Universidad de Zaragoza

This paper appears in: Revista IEEE América Latina

Publication Date: June 2013
Volume: 11,   Issue: 4 
ISSN: 1548-0992

The overall performance of a WLAN 802.11e is determined, among other things, by the Enhanced Distributed Channel Access (EDCA) parameters, typically configured with default and static values. The same does not vary according to the dynamic requirements of Quality of Service (QoS) of the network. To achieve significant improvements in the performance of the network, and simultaneously comply with the specifications of QoS, a new algorithm of tuning is proposed to make the adjustment of these parameters dynamically, which we call Algorithm for the Differentiation of Traffic Multiple (MTDA). The algorithm has been evaluated in realistic scenarios with noise, reaching a initialization effective, rapid convergence, and the differentiation of effective multiple wireless traffic (voice, video and best effort with Pareto distribution). It adopted a model of wireless station implemented in Hierarchical Stochastic Activities Networks (HSANs), which runs on the simulator Möbius.

Index Terms:
tuning, EDCA parameters, modeling, simulation, WLAN 802.11e   

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