Abstract

Wireless access technologies are widespread in domestic scenarios, and end users extensively use mobile phones or tablets to browse the Web. Therefore, methods and platforms for the measurement of network key performance indicators must be adapted to the peculiarities of this environment. In this light, the experiments should capture the true conditions of such connections, particularly in terms of the hardware and multi-device interactions that are present in real networks. On the basis of this, this paper presents an evaluation of the capabilities of several affordable commercial off-the-shelf (COTS) devices as network measuring probes, for example, computers-on-module or domestic routers with software measurement tools. Our main goal is to detect the limits of such devices and define a guide of good practices to optimize them. Hence, our work paves the way for the development of fair measurement systems in domestic networks with low expenditures. The obtained experimental results show that these types of devices are suitable as network measuring probes, if they are adequately configured and minimal accuracy losses are assumable.

Highlights

  • Wireless Internet access technologies have completely revolutionized how end users connect with each other

  • We comprehensively describe the network key performance indicators (KPIs)’ measurement methodology, which aims to detect the shortcomings that may arise in general scenarios making use of standard tools and metric definitions

  • We have conducted an empirical evaluation of critical factors for network measurement systems that use low-cost commercial off-the-shelf (COTS) platforms

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Summary

Introduction

Wireless Internet access technologies have completely revolutionized how end users connect with each other In this regard, WiFi technology has emerged as one of the most popular options to provide low-cost and high-bandwidth (BW) wireless connectivity to end users, in environments that highly depend on mobility. WiFi technology has emerged as one of the most popular options to provide low-cost and high-bandwidth (BW) wireless connectivity to end users, in environments that highly depend on mobility This has awakened interest in studying the factors that negatively affect wireless communications to design and deploy protocols and technologies that perform better towards connecting everything. Such devices may present further hardware or software restrictions, which may limit the kind of tasks that can be performed

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