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Performance Evaluation of a Wireless Network using a VoIP Traffic Generator on a Mobile Device

机译:在移动设备上使用VoIp流量生成器的无线网络性能评估

摘要

The problem of generating different patterns of traffic to emulate real user behaviour is receiving considerable attention with the construction of new and more complex network architectures. The theoretical modelling of waveforms or signals that flow through networks is valuable in a variety of scenarios including performance analysis and the design of communication systems. In the literature, many computer-based performance evaluation tools have been discussed. However, these tools lack the ability to run on affordable technologies such as mobile phones. The fundamental contribution of this work is the design of a traffic generating tool called MTGawn which is able to run on a mobile device. Design Science Research was the research methodology used for the design and deployment of a prototype of the proposed system. VoIP traffic was emulated using an implementation of well-known real time transport protocols such as RTP and cRTP, and parameterization was defined by using three codecs namely: G.711, G.723, and G.729. An evaluation was performed in a laboratory wireless network testbed and preliminary results were collected and analysed. The results of the experiments show that such a measuring instrument can be deployed on a mobile phone. More experiments are being done to ensure the accuracy of the data and also to compare the results with that of computer-based systems. Furthermore additional functionalities, similar to the functionality found on the computer-based open source tools, are being added to the mobile tool.
机译:随着新的和更复杂的网络体系结构的构建,生成不同流量模式以模仿实际用户行为的问题正受到相当多的关注。流经网络的波形或信号的理论模型在包括性能分析和通信系统设计在内的各种情况下都很有价值。在文献中,已经讨论了许多基于计算机的性能评估工具。但是,这些工具缺乏在负担得起的技术(例如手机)上运行的能力。这项工作的基本贡献是设计了一种称为MTGawn的流量生成工具,该工具能够在移动设备上运行。设计科学研究是用于设计和部署所提出系统的原型的研究方法。使用众所周知的实时传输协议(例如RTP和cRTP)的实现来模拟VoIP流量,并使用三个编解码器(即G.711,G.723和G.729)定义参数化。在实验室无线网络测试平台上进行了评估,并收集了初步结果并进行了分析。实验结果表明,这种测量仪器可以部署在手机上。为了确保数据的准确性并与基于计算机的系统进行比较,正在进行更多的实验。此外,类似于在基于计算机的开源工具上找到的功能的其他功能也正在添加到移动工具中。

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