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.
|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|
|Number of pages||12|
|Publication status||Published - 2014|
|Event||2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States|
Duration: 2014 Sep 13 → 2014 Sep 17
|Name||UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing|
|Other||2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014|
|Period||14/9/13 → 14/9/17|
Bibliographical notePublisher Copyright:
Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).
All Science Journal Classification (ASJC) codes