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

被引:1
|
作者
Guo, Bin [1 ]
Chen, Chao [3 ]
Zhang, Daqing [4 ]
Yu, Zhiwen [2 ]
Chin, Alvin [5 ]
机构
[1] Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China
[2] Northwestern Polytech Univ, Dept Discipline Construct, Xian, Peoples R China
[3] Chongqing Univ, Chongqing, Peoples R China
[4] Inst TELECOM SudParis, Paris, France
[5] Microsoft, Paris, France
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 characteristic features: it leverages heterogeneous crowdsourced data from two data sources: participatory sensing and participatory social media; and it presents the fusion of human and machine intelligence in both the sensing and computing processes. This article characterizes the unique features and challenges of MCSC. We further present early efforts on MCSC to demonstrate the benefits of aggregating heterogeneous crowdsourced data.
引用
收藏
页码:131 / 137
页数:7
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