Participatory Sensing
By Vlasios Tsiatsis, Stamatis Karnouskos, J. Höller, D. Boyle, Catherine E. A. Mulligan. 2019
This paper introduces the concept of participatory sensing, which tasks everyday mobile devices, such as cellular phones, to form interactive, participatory sensor networks that enable public and professional users to gather, analyze and share local knowledge. An initial architecture to enhance data credibility, quality, privacy and ‘shareability’ in such networks is described, as well as a campaign application model that encompasses participation at personal, social and urban scales. Example applications are outlined in four areas: urban planning, public health, cultural identity and creative expression, and natural resource management.
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- Li Xiong
- Andrea Capponi
- Slawomir Goryczka
- Burak Kantarci
- Claudio Fiandrino
- Dzmitry Kliazovich
- Pascal Bouvry
- Luca Foschini
Citations in the corpus
- A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy (2015, background): “PARTICIPATORY sensing and data surveillance are gradually integrated into an inseparable part of our society [8], [27].”
- A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, background): “Multimedia data can be crowdsensed in a participatory manner, such as images for price comparison [131] or audio signals for noise analysis [121]) [58].”
- Data Literacy is Statistical Literacy. (2017, background): “Many traditional notions of statistical literacy (SL) are about understanding the data representations and statistical arguments of others. The set of knowledge and understanding required to be statistically literate is often defined by differentiating the needs of consumers of statistics from those”