Pazl: A mobile crowdsensing based indoor WiFi monitoring system

V. Radu, L. Kriara, M.K. Marina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

WiFi in indoor environments exhibits spatio-temporal variations in terms of coverage and interference in typical WLAN deployments with multiple APs, motivating the need for automated monitoring to aid network administrators to adapt the WLAN deployment in order to match the user expectations. We develop Pazl, a mobile crowdsensing based indoor WiFi monitoring system that is enabled by a novel hybrid localization mechanism to locate individual measurements taken from participant phones. The localization mechanism in Pazl integrates the best aspects of two well known localization techniques, pedestrian dead reckoning and WiFi fingerprinting; it also relies on crowdsourcing for constructing the WiFi fingerprint database. Compared to existing WiFi monitoring systems based on static sniffers, Pazl is low cost and provides a user-side perspective. Pazl is significantly more automated than wireless site survey tools such as Ekahau Mobile Survey tool by drastically reducing the manual point-and-click based measurement location determination. We implement Pazl through a combination of Android mobile app and cloud backend application on the Google App Engine. Experimental evaluation of Pazl with a trial set of users shows that it yields similar results to manual site surveys but without the tedium.
Original languageEnglish
Title of host publicationNetwork and Service Management (CNSM), 2013 9th International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages9
Publication statusPublished - 1 Oct 2013

Keywords / Materials (for Non-textual outputs)

  • mobile computing
  • wireless LAN
  • Android mobile app
  • Google App Engine
  • Pazl
  • WiFi fingerprinting
  • cloud backend application
  • manual point-and-click based measurement location determination
  • mobile crowdsensing based indoor WiFi monitoring system
  • novel hybrid localization mechanism
  • pedestrian dead reckoning
  • typical WLAN deployments
  • Acceleration
  • IEEE 802.11 Standards
  • Mobile communication
  • Monitoring
  • Sensors
  • Smart phones
  • Wireless LAN


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