• DocumentCode
    3601170
  • Title

    Opportunistic Sampling for Joint Population Size and Density Estimation

  • Author

    Naini, Farid Movahedi ; Dousse, Olivier ; Thiran, Patrick ; Vetterli, Martin

  • Author_Institution
    EPFL, Lausanne, Switzerland
  • Volume
    14
  • Issue
    12
  • fYear
    2015
  • Firstpage
    2530
  • Lastpage
    2543
  • Abstract
    Consider a set of probes, called “agents”, who sample, based on opportunistic contacts, a population moving between a set of discrete locations. An example of such agents are Bluetooth probes that sample the visible Bluetooth devices in a population. Based on the obtained measurements, we construct a parametric statistical model to jointly estimate the total population size (e.g., the number of visible Bluetooth devices) and their spatial density. We evaluate the performance of our estimators by using Bluetooth traces obtained during an open-air event and Wi-Fi traces obtained on a university campus.
  • Keywords
    Bluetooth; density measurement; estimation theory; sampling methods; wireless LAN; Bluetooth devices; Bluetooth probes; Wi-Fi; density estimation; discrete locations; joint population size; opportunistic contacts; opportunistic sampling; parametric statistical model; spatial density; Bluetooth; Density measurement; Optical wavelength conversion; Populations; Sampling methods; Sociology; Statistics; Bluetooth sampling; Population size and density estimation; opportunistic sampling;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2015.2393302
  • Filename
    7012096