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WiFiMon: A Tool for Wi-Fi Performance Monitoring and Verification

Author

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  • Christos Bouras

    (Computer Technology Institute & Press “Diophantus”, Computer Engineering and Informatics Department, University of Patras, Patras, Greece)

  • Kurt Baumann

    (Network SWITCH, Zurich, Switzerland)

  • Vasileios Kokkinos

    (Computer Engineering and Informatics Department, University of Patras, Patras, Greece)

  • Nikolaos Papachristos

    (Computer Engineering and Informatics Department, University of Patras, Patras, Greece)

  • Kostas Stamos

    (Greek Research and Technology Network, Athens, Greece)

Abstract

Measuring network quality of a wireless network as experienced by end-users is quite difficult, as there is not a single tool available that can record measurements on all sides of the system. The approach presented in this research work is based on the end-user feedback, giving the opportunity of visualization of network performance in real time. This paper initially presents an overview of the developed tool, called WiFiMon, which has the ability to capture, record measurements and export statistics on the quality of Wi-Fi network as perceived by the end-users. The measurements are initiated by the end-users—without their intervention—after they visit a webpage or use a mobile application. WiFiMon aims to give a clear understanding of the Wi-Fi network conditions by measuring specific parameters of the network, such as download/upload throughput, and correlate these measurements with raw data from various log files to obtain additional information regarding the performance of specific access points. The results reveal the functionality of the proposed tool and its scalability.

Suggested Citation

  • Christos Bouras & Kurt Baumann & Vasileios Kokkinos & Nikolaos Papachristos & Kostas Stamos, 2019. "WiFiMon: A Tool for Wi-Fi Performance Monitoring and Verification," International Journal of Wireless Networks and Broadband Technologies (IJWNBT), IGI Global, vol. 8(1), pages 1-18, January.
  • Handle: RePEc:igg:jwnbt0:v:8:y:2019:i:1:p:1-18
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