Localization of WiFi devices using probe requests captured at unmanned aerial vehicles

V. Acuna, A. Kumbhar, E. Vattapparamban, F. Rajabli, I. Güvenç

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

19 Scopus citations

Abstract

Localization of mobile wireless devices carries critical importance for applications such as search and rescue, public safety, surveillance, and occupancy monitoring. In this paper, we study the problem of localizing WiFi-enabled mobile devices such as smartphones and tablets using the measurements captured by an unmanned aerial vehicle (UAV). We make use of the continuously broadcasted WiFi probe requests from mobile devices, capture them at different locations at a WiFi sniffer carried by a UAV, and subsequently estimate the user's location using random-forest based machine learning technique. More specifically, the geographical area of interest is partitioned into multiple zones, and based on the measured probe requests, we are interested to identify the zone where the WiFi device is located. Our experimental results show that the WiFi device can be detected in correct occupancy zone with a 81.8% accuracy.

Original languageEnglish (US)
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
DOIs
StatePublished - May 10 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: Mar 19 2017Mar 22 2017

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Country/TerritoryUnited States
CitySan Francisco
Period3/19/173/22/17

Keywords

  • Location estimation
  • Machine learning
  • Probe request
  • Public safety
  • Random forest
  • RSSI
  • Sniffer
  • UAV
  • WiFi pineapple
  • Wireshark

ASJC Scopus subject areas

  • Engineering(all)

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