A cross-layer approach for predicting the effects of noise on wi-fi video streaming performance
2011-08-15T15:28:36Z (GMT) by
Despite the huge development and usage of devices compliant with IEEE 802.11g, their performance is still hard to predict and to guarantee. A lot of work has focused on performance evaluation based on simulations, but it is not sufficient, due to the great number of variables involved. Others have focused on linking the application performance with the channel conditions, however taking into consideration only one end of communication. This paper presents a test bed and a measurement methodology to experimentally analyze the effects of physical layer interference, such as AWG noise, on a scenario that entails an actual, yet simple, IEEE 802.11g network supporting video streaming applications. In addition, the paper presents an initial set of experimental results that help in developing a simple model for correlating physical layer measures to video streaming performance. To this aim, the tests are conducted through a cross-layer approach that allows to compare metrics at different stack layers and predict some network behaviors. The novelty of the model is the fact it considers the noise conditions at both client and server and uses them in a cross– layer approach to predict the video streaming time.