From participatory sensing to Mobile Crowd Sensing

Bin Guo, Zhiwen Yu, Xingshe Zhou, Daqing Zhang

科研成果: 会议稿件论文同行评审

373 引用 (Scopus)

摘要

The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves both implicit and explicit participation; (2) MCS collects data from two user-participant data sources: mobile social networks and mobile sensing. This paper presents the literary history of MCS and its unique issues. A reference framework for MCS systems is also proposed. We further clarify the potential fusion of human and machine intelligence in MCS. Finally, we discuss the future research trends as well as our efforts to MCS.

源语言英语
593-598
页数6
DOI
出版状态已出版 - 2014
活动2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 - Budapest, 匈牙利
期限: 24 3月 201428 3月 2014

会议

会议2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014
国家/地区匈牙利
Budapest
时期24/03/1428/03/14

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