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 realtime traffic statistics. Similarly, street-level audio samples collected by pedestrians can be aggregated to create a citywide noise map. In this talk, we will provide a comprehensive overview of this new and exciting paradigm and outline the major research challenges.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Burke, J., Estrin, D., Hansen, M., Parker, A., Ramanathan, N., Reddy, S., Srivastava, M.B.: Participatory Sensing. In: Proceedings of the World Sensor Web Workshop, in Conjunction with ACM SenSys 2006 (November 2006)
Campbell, A., Eisenman, S., Lane, N., Miluzzo, E., Peterson, R.: People-centric Urban Sensing. In: Proceedings of Second Annual International Wireless Internet Conference (WICON), pp. 2–5 (August 2006)
Reddy, S., Parker, A., Hyman, J., Burke, J., Estin, D., Hansen, M.: Image Browsing, Processing and Clustering for Participatory Sensing: Lessons from a DietSense Prototype. In: Proceedings of the Workshop on Embedded Networked Sensors (EmNetS), Cork, Ireland (June 2007)
Mun, M., Reddy, S., et al.: PEIR, the Personal Environmental Impact Report, as a Platform for Participatory Sensing Systems Research. In: Proceedings of ACM MobiSys, Krakow, Poland (June 2009)
Eisenman, S., Miluzzo, E., Lane, N., Peterson, R., Ahn, G., Campbell, A.: The Bikenet Mobile Sensing System for Cyclist Experience Mapping. In: Proceedings of ACM SenSys, Sydney, Australia (November 2007)
Miluzzo, E., Lane, N., Fodor, K., Peterson, R., Eisenman, S., Lu, H., Musolesi, M., Zheng, X., Campbell, A.: Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application. In: Proceedings of ACM SenSys, Raleigh, NC, USA (November 2008)
Dong, Y., Kanhere, S.S., Chou, C.T., Bulusu, N.: Automatic Collection of Fuel Prices from a Network of Mobile Cameras. In: Proceedings of IEEE DCOSS 2008, Santorini, Greece (June 2008)
Carrapetta, J., Youdale, N., Chow, A., Sivaraman, V.: Haze Watch Project, http://www.pollution.ee.unsw.edu.au
Rana, R., Chou, C.T., Kanhere, S., Bulusu, N., Hu, W.: Ear-Phone: An End-to-End Participatory Urban Noise Mapping System. In: Proceedings of ACM/IEEE IPSN, Stockholm, Sweden (April 2010)
Mohan, P., Padmanabhan, V., Ramjee, R.: Nericell: Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones. In: Proceedings of ACM SenSys, Raleigh, NC, USA (November 2008)
Kapadia, A., Triandopoulos, N., Cornelius, C., Peebles, D., Kotz, D.: AnonySense: Opportunistic and Privacy-Preserving Context Collection. In: Indulska, J., Patterson, D.J., Rodden, T., Ott, M. (eds.) PERVASIVE 2008. LNCS, vol. 5013, pp. 280–297. Springer, Heidelberg (2008)
Huang, K., Kanhere, S.S., Hu, W.: Are You Contributing Trustworthy Data? The Case for A Reputation Framework in Participatory Sensing. In: Proceedings of ACM MSWiM, Bodrum, Turkey (October 2010)
Gaonkar, S., Li, J., Choudhury, R.R.: Micro-Blog: Sharing and Querying Content Through Mobile Phones and Social Participation. In: Proceedings of ACM MobiSys, Breckenridge, CO, USA (June 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kanhere, S.S. (2013). Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces. In: Hota, C., Srimani, P.K. (eds) Distributed Computing and Internet Technology. ICDCIT 2013. Lecture Notes in Computer Science, vol 7753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36071-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-36071-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36070-1
Online ISBN: 978-3-642-36071-8
eBook Packages: Computer ScienceComputer Science (R0)