Joint bluetooth/wifi scanning framework for characterizing and leveraging people movement in university campus

Long Vu, Klara Nahrstedt, Samuel Retika, Indranil Gupta

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

Abstract

This pape presents a novel framework called UIM, which collects both location information and ad hoc contacts of the human movement at the University of Illinois campus using Google Android phones. Each UIM experiment phone encompasses a Bluetooth scanner and a wifi scanner capturing both Bluetooth MAC addresses and wifi access point MAC addresses in proximity of the phone. Then, Bluetooth MAC addresses are used to infer contact information and the wifi MAC addresses are used to infer physical location of the phone. Using the contact and location information, we investigate first the sensitivity analysis on contact duration and inter-contact duration. Then, we characterize the regularity of people movement, visit duration of people at locations, and the popularity of locations. Finally, we present the Hybrid Epidemic data dissemination protocol, which uses both wifi access point and ad hoc contact to expedite the data forwarding. We evaluate Hybrid Epidemic protocol with our collected ad hoc and wifi traces and find that in comparison with Epidemic data dissemination protocol, the Hybrid Epidemic protocol improves data forwarding delay considerably.

Original languageEnglish (US)
Title of host publicationMSWiM'10 - Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
Pages257-265
Number of pages9
DOIs
StatePublished - Dec 21 2010
Event13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2010 - Bodrum, Turkey
Duration: Oct 17 2010Oct 21 2010

Publication series

NameMSWiM'10 - Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems

Other

Other13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2010
CountryTurkey
CityBodrum
Period10/17/1010/21/10

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Keywords

  • android phone
  • bluetooth trace
  • people movement characterization
  • wifi trace

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Modeling and Simulation

Cite this

Vu, L., Nahrstedt, K., Retika, S., & Gupta, I. (2010). Joint bluetooth/wifi scanning framework for characterizing and leveraging people movement in university campus. In MSWiM'10 - Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (pp. 257-265). (MSWiM'10 - Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems). https://doi.org/10.1145/1868521.1868563