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 :
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