Movahedi Naini, Farid
Dousse, Olivier
Thiran, Patrick
Vetterli, Martin
Population Size Estimation Using a Few Individuals as Agents
Proceedings of the IEEE International Symposium on Information Theory (ISIT)
Proceedings of the IEEE International Symposium on Information Theory (ISIT)
Proceedings of the IEEE International Symposium on Information Theory (ISIT)
Proceedings of the IEEE International Symposium on Information Theory (ISIT)
Bluetooth
Population Estimation
Opportunistic Sampling
2011
2011
We conduct an experiment where ten attendees of an open-air music festival are acting as Bluetooth probes. We then construct a parametric statistical model to estimate the total number of visible Bluetooth devices in the festival area. By comparing our estimate with ground truth information provided by probes at the entrances of the festival, we show that the total population can be estimated with a surprisingly low error (1.26% in our experiment), given the small number of agents compared to the area of the festival and the fact that they are regular attendees who move randomly. Also, our statistical model can easily be adapted to obtain more detailed estimates, such as the evolution of the population size over time.
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Proceedings of the IEEE International Symposium on Information Theory (ISIT)
Conference Papers
10.1109/ISIT.2011.6034016