Abstract
AbstractIn this paper we attempt to establish patterns for the Normalized Measure of Dispersion in order to compute the total average end-to-end packet delay in IEEE 802.11 wireless local area network. In order to achieve this, we adopt a reverse engineering approach in which the normalized measure of dispersion is used for determining variation in service times which when applied to the traditional M/G/1 queueing system points toward developing a complete model based on this normalized measure of dispersion and offered load dependency study. From this analysis we have driven nonlinear equations through best fit model for computing the average packet delay. Our analysis can further be extended by deriving nonlinear equations with network parameters for accurately modeling IEEE 802.11 DCF.KeywordsCoefficient of VariationDelayM/G/1IEEE 802.11 DCFSimulation
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