Mobile Crowd Sensing and Computing: When Participatory Sensing Meets Participatory Social Media

May 01, 2015 ยท Declared Dead ยท ๐Ÿ› IEEE Communications Magazine

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Authors Bin Guo, Chao Chen, Daqing Zhang, Zhiwen Yu, Alvin Chin arXiv ID 1505.00111 Category cs.HC: Human-Computer Interaction Cross-listed cs.CY Citations 102 Venue IEEE Communications Magazine Last Checked 2 months ago
Abstract
With the development of mobile sensing and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC), which leverages heterogeneous crowdsourced data for large-scale sensing, has become a leading paradigm. Built on top of the participatory sensing vision, MCSC has two characterizing features: (1) it leverages heterogeneous crowdsourced data from two data sources: participatory sensing and participatory social media; and (2) it presents the fusion of human and machine intelligence (HMI) in both the sensing and computing process. This paper characterizes the unique features and challenges of MCSC. We further present early efforts on MCSC to demonstrate the benefits of aggregating heterogeneous crowdsourced data.
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