Real-time urban population monitoring using pervasive sensor network
| Autor: | Miljko Bobrek, Gautam S. Thakur, Stephen M. Killough, Cheng Liu, Teja Kuruganti, Wei Lu, James J. Nutaro |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
education.field_of_study
geography.geographical_feature_category business.industry 05 social sciences Real-time computing Population 0507 social and economic geography 020206 networking & telecommunications 02 engineering and technology Urban area Population density Beacon Global population Population estimate Geography 0202 electrical engineering electronic engineering information engineering Cellular frequencies Telecommunications business education 050703 geography Wireless sensor network |
| Zdroj: | SIGSPATIAL/GIS |
| Popis: | It is estimated that 50% of the global population lives in urban areas occupying just 0.4% of the Earth's surface. Understanding urban activity constitutes monitoring population density and its changes over time, in urban environments. Currently, there are limited mechanisms to non-intrusively monitor population density in real-time. The pervasive use of cellular phones in urban areas is one such mechanism that provides a unique opportunity to study population density by monitoring the mobility patterns in near real-time. Cellular carriers such as ATT however, this data is proprietary and the carriers restrict access, due to privacy concerns. In this work, we propose a system that passively senses the population density and infers mobility patterns in an urban area by monitoring power spectral density in cellular frequency bands using periodic beacons from each cellphone without knowing who and where they are located. A wireless sensor network platform is being developed to perform spectral monitoring along with environmental measurements. Algorithms are developed to generate real-time fine-resolution population estimates. |
| Databáze: | OpenAIRE |
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