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A diffusion approximation model for wireless networks based on IEEE 802.11 standard

机译:基于IEEE 802.11标准的无线网络扩散近似模型

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摘要

The article presents an analytical model of wireless networks using the IEEE 802.11 protocol to access the transport medium. The model allows to determine such key factors of the quality of service as transmission delays and losses. The model is based on diffusion approximation approach which was proposed three decades ago to model wired networks. We show that it can be adapted to take into consideration the input streams with general interarrival time distributions and servers with general service time distributions. The diffusion approximation has been chosen because of fairly general assumptions of models based on it, hard to be represented in Markov models. A queueing network model can have an arbitrary topology, the intensity of transmitted flows can be represented by non-Poisson (even self-similar) streams, the service times at nodes can be defined by general distributions. These assumptions are important: because of the CSMA/CA algorithm, the overall times needed to sent a packet are far from being exponentially distributed and therefore the flows between nodes are non-Poisson. Diffusion approximation allows us also to analyse the of transient behaviour of a network when traffic intensity is changing with time.
机译:本文介绍了一种使用IEEE 802.11协议访问传输介质的无线网络的分析模型。该模型允许确定服务质量的关键因素,例如传输延迟和损耗。该模型基于三十年前提出的用于对有线网络建模的扩散近似方法。我们展示了它可以被调整为考虑具有一般到达时间分布的输入流和具有一般服务时间分布的服务器。选择扩散近似是因为基于该模型的模型的一般假设,很难在马尔可夫模型中表示。排队网络模型可以具有任意拓扑,传输流的强度可以由非泊松(甚至自相似)流表示,节点的服务时间可以由一般分布定义。这些假设很重要:由于采用CSMA / CA算法,发送数据包所需的总时间远没有呈指数分布,因此节点之间的流是非泊松的。扩散近似使我们还可以分析流量强度随时间变化时网络的瞬态行为。

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