Participatory sensing: applications and architecture [Internet Predictions]

Author

Estrin, D.

Author_Institution

Univ. of California, Los Angeles, CA, USA

Volume

14

Issue

1

fYear

2010

Firstpage

12

Lastpage

42

Abstract

Participatory sensing is the process whereby individuals and communities use ever more capable mobile phones and cloud services to collect and analyze systematic data for use in discovery. The convergence of technology and analytical innovation with a citizenry that is increasingly comfortable using mobile phones and online social networking sets the stage for this technology to dramatically impact many aspects of daily lives. Ubiquitous data capture, leveraged data processing, and personal data vault are the essential components for these emerging systems. The architecture, usage models,and application of participatory sensing were discussed in this paper.

Keywords

mobile computing; social networking (online); technological forecasting; cloud service; leveraged data processing component; mobile phones; online social networking; participatory sensing; personal data vault component; ubiquitous data capture component; Clouds; Data analysis; Data processing; Internet; Mobile handsets; Social network services; Technological innovation; Internet; Internet evolution; Internet of Things; Software engineering; bottom of the pyramid; broadband; carbon emissions; climate; cloud computing; creation net; data processing; data protection; future ICT for sustainable growth; global networks; green; information society; interactive entertainment; intercultural collaboration; knowledge-worker; language grid; multinationals; open machine translation; participatory sensing; personal data vault; procedural content generation; profit-center; prognosticators; quant revolution; services computing; socio-technical systems; space technology; technology forecasting; telecommunications; tussle; ubiquitous data capture; vision; wireless;

fLanguage

English

Journal_Title

Internet Computing, IEEE

Publisher

ieee

ISSN

1089-7801

Type

jour

DOI

10.1109/MIC.2010.12

Filename

5370818