Passive assessment of QoS in a WLAN for Sudden Onset Disasters (SODs)

Eyal Berliner, A. Herbon, Yuval Hadas, Boaz Ben-Moshe, A. Dvir
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引用次数: 1

Abstract

Real-time voice and video streaming applications require a certain Quality of Service (QoS) level for providing user satisfaction. As Wireless Local Area Networks (WLAN's) are not designed for such applications, assessing the communication's QoS level is a challenging task. Sudden Onset Disasters (SODs) poses even a greater challenge as the QoS level must be assessed without generating traffic or consuming any other network resources that the response forces needs for communicating among themselves. As such, passive measurement is the only viable approach, but it lacks suitable metrics for doing so. In this paper, we briefly review the main QoS parameters and later, we propose two new possible measurements. These measures are an extension of the retry-ratio measurements such as the Frame Retry Ratio (FRR) which reflects the effort-efficiency to communicate through the ratio of the extra effort (retries) to the overall effort. Data Retry-Ratio (DRR) is the ratio of extra data transmitted to the overall transmitted data in a period of time. Airtime Retry-Ratio (ARR) is the ratio of the extra airtime cost to the overall used airtime cost. For exploring the performances of these measures, we have developed and designed a special portable testbed which among other things includes a stratum-1 NTP time server. We used this testbed to explore the relations between active measurements: such as one-way delay, throughput and jitter to passive measurements: one-way throughput, one-way FRR, DDR and ARR. The results of a large field-test reveal that passive measurements can reflect the QoS parameters such as the average throughput and can indicate an asymmetric link similar to one-way delay.
突发灾害(SODs)下无线局域网QoS被动评估
实时语音和视频流应用需要一定的服务质量(QoS)水平来提供用户满意度。由于无线局域网(WLAN)不是为此类应用而设计的,因此评估通信的QoS级别是一项具有挑战性的任务。突发灾难(SODs)带来了更大的挑战,因为必须在不产生流量或消耗响应部队之间通信所需的任何其他网络资源的情况下评估QoS级别。因此,被动测量是唯一可行的方法,但它缺乏合适的度量标准。在本文中,我们简要回顾了主要的QoS参数,然后,我们提出了两种新的可能的测量方法。这些度量是重试比率度量的扩展,例如帧重试比率(FRR),它通过额外的努力(重试)与总体努力的比率来反映通信的努力效率。DRR (Data Retry-Ratio)是指在一段时间内传输的额外数据与传输的总数据的比值。Airtime Retry-Ratio (ARR)是额外的Airtime cost与总使用的Airtime cost的比值。为了探索这些措施的性能,我们开发并设计了一个特殊的便携式测试平台,其中包括一个层1 NTP时间服务器。我们使用这个测试平台来探索主动测量(如单向延迟、吞吐量和抖动)与被动测量(单向吞吐量、单向FRR、DDR和ARR)之间的关系。大型现场测试结果表明,被动测量可以反映平均吞吐量等QoS参数,并可以指示类似单向延迟的非对称链路。
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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