IEEE 802.11 optimization with mixed traffic

Abstract

Tesis no incluye resumen.

Increasingly, IEEE 802.11 wireless networks are being used to provide connection services for devices running applications with very different quality of service requirements. Although this issue has been addressed by the IEEE 802.11e standard, the fact is that most networks deployed in home/office environments nowadays use IEEE 802.11a/b/g/n standard devices, since the benefits of using the IEEE 802.11e standard are not evident. In part, this stems from the fact that administrators often do not know how to configure parameters of their network devices to maximize performance. In our analysis, network devices are grouped according to the expected traffic pattern of the applications they are running. Then, global and individual group goodput are calculated assuming a congested network. Based upon the outcome of this analysis it is shown that the performance of a standard home/office IEEE 802.11 wireless network can be significantly improved.