Mobile Crowd Sensing and Computing: When Participatory Sensing Meets Participatory Social Media
It addresses the challenge of leveraging diverse data sources for sensing applications, but is incremental as it builds on existing participatory sensing paradigms.
This paper tackles the problem of large-scale sensing by integrating participatory sensing and participatory social media into Mobile Crowd Sensing and Computing (MCSC), demonstrating benefits through early efforts that aggregate heterogeneous crowdsourced data.
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.