From participatory sensing to Mobile Crowd Sensing

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.

• Publication year

  2014

• Venue

  2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS)

• Publication date

  2014-01-13

• Fields of study

  Sociology, Computer Science

• Identifiers
  DOI 10.1109/PerComW.2014.6815273arXiv 1401.3090
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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