WiFiMon: Combining Crowdsourced and Probe Measurements for Wi-Fi Performance Evaluation

Nikos Kostopoulos, Sokol Gjeçi, K. Baumann, Pavle V. Vuletic, K. Stamos
{"title":"WiFiMon: Combining Crowdsourced and Probe Measurements for Wi-Fi Performance Evaluation","authors":"Nikos Kostopoulos, Sokol Gjeçi, K. Baumann, Pavle V. Vuletic, K. Stamos","doi":"10.23919/WONS51326.2021.9415582","DOIUrl":null,"url":null,"abstract":"We present WiFiMon, a lightweight active monitoring open source system for Wi-Fi network performance evaluation and verification. Using an objective Quality of Experience (QoE) assessment approach, WiFiMon is capable of capturing Wi-Fi throughput as experienced by end users without requiring their intervention. This is possible via crowdsourced measurements that are automatically triggered when the end users visit websites preconfigured with WiFiMon technology. Crowdsourced results are combined with probe measurements collected from small form factor devices located at fixed points within the monitored network; this enables Wi-Fi administrators to reach stronger conclusions about the performance of their networks. When deployed in IEEE 802.1X networks, WiFiMon provides additional benefits, e.g. fine-grained performance analysis per access point, by integrating data from available RADIUS and DHCP logs, which are correlated with the crowdsourced and probe measurements. Our system capabilities are demonstrated based on WiFiMon pilots, which took place in recent events with several hundreds of participants (TNC19 Conference, GEANT Symposium 2020). We conclude that WiFiMon can effectively detect Wi-Fi performance fluctuations.","PeriodicalId":103530,"journal":{"name":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/WONS51326.2021.9415582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

We present WiFiMon, a lightweight active monitoring open source system for Wi-Fi network performance evaluation and verification. Using an objective Quality of Experience (QoE) assessment approach, WiFiMon is capable of capturing Wi-Fi throughput as experienced by end users without requiring their intervention. This is possible via crowdsourced measurements that are automatically triggered when the end users visit websites preconfigured with WiFiMon technology. Crowdsourced results are combined with probe measurements collected from small form factor devices located at fixed points within the monitored network; this enables Wi-Fi administrators to reach stronger conclusions about the performance of their networks. When deployed in IEEE 802.1X networks, WiFiMon provides additional benefits, e.g. fine-grained performance analysis per access point, by integrating data from available RADIUS and DHCP logs, which are correlated with the crowdsourced and probe measurements. Our system capabilities are demonstrated based on WiFiMon pilots, which took place in recent events with several hundreds of participants (TNC19 Conference, GEANT Symposium 2020). We conclude that WiFiMon can effectively detect Wi-Fi performance fluctuations.
WiFiMon:结合众包和探针测量进行Wi-Fi性能评估
我们提出了WiFiMon,一个用于Wi-Fi网络性能评估和验证的轻量级主动监控开源系统。使用客观的体验质量(QoE)评估方法,WiFiMon能够捕捉终端用户体验到的Wi-Fi吞吐量,而无需他们的干预。这可以通过众包测量实现,当终端用户访问预先配置了wifi技术的网站时,这些测量会自动触发。众包结果与从位于监测网络内固定点的小型尺寸设备收集的探头测量结果相结合;这使Wi-Fi管理员能够对其网络的性能得出更有力的结论。当部署在IEEE 802.1X网络中时,WiFiMon提供了额外的好处,例如,通过整合来自可用RADIUS和DHCP日志的数据,每个接入点的细粒度性能分析,这些数据与众包和探针测量相关。我们的系统功能是基于WiFiMon试点的,该试点在最近的活动中进行了演示,有数百名参与者(TNC19会议,GEANT研讨会2020)。我们得出结论,WiFiMon可以有效检测Wi-Fi性能波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信