Abstract
Mobile sensing systems employ various sensors in smartphones to extract human-related information. As the demand for sensing systems increases, a more effective mechanism is required to sense information about human life. In this paper, we present a systematic study on the feasibility and gaining properties of a crowdsensing system that primarily concerns sensing WiFi packets in the air. We propose that this method is effective for estimating urban mobility by using only a small number of participants. During a seven-week deployment, we collected smartphone sensor data, including approximately four million WiFi packets from more than 130,000 unique devices in a city. Our analysis of this dataset examines core issues in urban mobility monitoring, including feasibility, spatio-temporal coverage, scalability, and threats to privacy. Collectively, our findings provide valuable insights to guide the development of new mobile sensing systems for urban life monitoring.
Original language | English |
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Title of host publication | UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
Publisher | Association for Computing Machinery, Inc |
Pages | 189-200 |
Number of pages | 12 |
ISBN (Electronic) | 9781450329682 |
DOIs | |
Publication status | Published - 2014 |
Event | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States Duration: 2014 Sept 13 → 2014 Sept 17 |
Publication series
Name | UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
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Other
Other | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 |
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Country/Territory | United States |
City | Seattle |
Period | 14/9/13 → 14/9/17 |
Bibliographical note
Publisher Copyright:Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).
All Science Journal Classification (ASJC) codes
- Software