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We present a complete and practical analytical model for the IEEE 802.11-based multi-hop wireless networks.The features of our model are that it first takes into account the realistic problems both from the physical and MAC (Media Access Control) layers in multi-hop wireless networks,including packet collisions,neighboring interference,hidden node problems,capture effects,non-ideal channels,non-saturated situations and multi-rate sending scenarios,which makes the analytical results more accurate.Second,it relates the network parameters to the bandwidth requirements of flows and thus is capable of directly analyzing bandwidth-sensitive applications.Third,it provides a ’what-if’ analysis,enabling us to predict the performance of the network after a new flow enters.Based on this model,we then present and validate iterative algorithms for end-to-end available bandwidth predictions.With the property of fast convergence and easy realization,these algorithms can give predictive estimates on the change of parameters that will affect the available bandwidth and thus enable us to obtain more accurate available bandwidth information.
We present a complete and practical analytical model for the IEEE 802.11-based multi-hop wireless networks. The features of our models are that it first first into account the realistic problems both from the physical and MAC (Media Access Control) layers in multi- hop wireless networks, including packet collisions, neighboring interference, hidden node problems, capture effects, non-ideal channels, non-saturated situations and multi-rate transmission scenarios, which makes the analytical results more accurate. Second, it relates the network parameters to the bandwidth requirements of flows and thus is capable of directly analyzing bandwidth-sensitive applications.Third, it provides a ’what-if’ analysis, enabling us to predict the performance of the network after a new flow enters.Based on this model, we then present and validate iterative algorithms for end-to-end available bandwidth predictions. W the the property of fast convergence and easy realization, these algorithms can give predictive estimates on t he change of parameters that will affect the available bandwidth and thus enable us to obtain more accurate available bandwidth information.