A novel theoretical throughput estimation method for IEEE 802.11 WLANs

Junsu Choi, Hyoungjoo Lee, Sunghyun Choi, K. Lee
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引用次数: 2

Abstract

In this paper, we develop a theoretical throughput estimation method for IEEE 802.11 Wireless Local Area Networks (WLANs), which accurately estimates how much throughput each node would achieve in a WLAN where nodes have different characteristics in terms of traffic demands, transmission rates, and packet sizes. The developed method is applicable to various types of topologies of WLANs including hidden node topologies. To analyze the effect of all the different characteristics of nodes, we newly introduce a novel concept, called activity probability, which represents the probability of packet existence in a node's transmission queue at a certain time. To validate the accuracy of the developed estimation method, we conduct extensive packet-level simulations (NS-3) and confirm that the developed method accurately estimates the throughput performance of a WLAN.
一种新的IEEE 802.11无线局域网理论吞吐量估计方法
在本文中,我们为IEEE 802.11无线局域网(WLAN)开发了一种理论吞吐量估计方法,该方法准确地估计了每个节点在无线局域网中实现的吞吐量,其中节点在流量需求,传输速率和数据包大小方面具有不同的特征。该方法适用于各种类型的wlan拓扑,包括隐藏节点拓扑。为了分析节点的所有不同特性对网络传输的影响,我们引入了一个新的概念,称为活动概率,它表示某一时刻某个节点的传输队列中存在数据包的概率。为了验证所开发的估计方法的准确性,我们进行了广泛的分组级模拟(NS-3),并确认所开发的方法准确地估计了WLAN的吞吐量性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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