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
Link To Document