Title
Opportunistic Sampling for Joint Population Size and Density Estimation
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.
Year
DOI
Venue
2015
10.1109/TMC.2015.2393302
IEEE Transactions on Mobile Computing
Keywords
Field
DocType
Bluetooth,Sociology,Statistics,Sampling methods,Optical wavelength conversion,Density measurement,Populations
Density estimation,Population,Computer science,Real-time computing,Parametric statistics,Population size,Statistical model,Sampling (statistics),Statistics,Bluetooth,Distributed computing,Estimator
Journal
Volume
Issue
ISSN
PP
99
1536-1233
Citations 
PageRank 
References 
3
0.38
19
Authors
4
Name
Order
Citations
PageRank
Farid Movahedi Naini130.38
Olivier Dousse21822126.03
Patrick Thiran32712217.24
Martin Vetterli4139262397.68