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

TL;DR

This paper explores Mobile Crowd Sensing and Computing (MCSC), a paradigm that combines participatory sensing and social media data, emphasizing human-machine intelligence fusion for large-scale sensing applications.

Contribution

It characterizes the unique features and challenges of MCSC and presents initial efforts demonstrating the benefits of aggregating diverse crowdsourced data.

Findings

Demonstrated the benefits of data fusion in MCSC

Identified key challenges in heterogeneous data integration

Highlighted the role of human-machine intelligence in sensing

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.