DocumentCode :
2212428
Title :
Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces
Author :
Kanhere, Salil S.
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
Volume :
2
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
3
Lastpage :
6
Abstract :
The recent wave of sensor-rich, Internet-enabled, smart mobile devices such as the Apple iPhone has opened the door for a novel paradigm for monitoring the urban landscape known as participatory sensing. Using this paradigm, ordinary citizens can collect multi-modal data streams from the surrounding environment using their mobile devices and share the same using existing communication infrastructure (e.g., 3G service or WiFi access points). The data contributed from multiple participants can be combined to build a spatiotemporal view of the phenomenon of interest and also to extract important community statistics. Given the ubiquity of mobile phones and the high density of people in metropolitan areas, participatory sensing can achieve an unprecedented level of coverage in both space and time for observing events of interest in urban spaces. Several exciting participatory sensing applications have emerged in recent years. For example, GPS traces uploaded by drivers and passengers can be used to generate real time traffic statistics. Similarly, street-level audio samples collected by pedestrians can be aggregated to create a citywide noise map. In this advanced seminar, we will provide a comprehensive overview of this new and exciting paradigm and outline the major research challenges.
Keywords :
Internet; data acquisition; mobile computing; mobile handsets; spatiotemporal phenomena; statistical analysis; traffic engineering computing; Internet; communication infrastructure; community statistics; crowdsourcing data; data collection; metropolitan areas; mobile devices; mobile smartphone; multimodal data streams; participatory sensing; realtime traffic statistics; spatiotemporal view; urban landscape monitoring; urban spaces; Context; Mobile handsets; Monitoring; Noise; Pollution measurement; Roads; Sensors; crowdsourcing; mobile sensing; participatory sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management (MDM), 2011 12th IEEE International Conference on
Conference_Location :
Lulea
Print_ISBN :
978-1-4577-0581-6
Electronic_ISBN :
978-0-7695-4436-6
Type :
conf
DOI :
10.1109/MDM.2011.16
Filename :
6068482
Link To Document :
بازگشت