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From participatory sensing to Mobile Crowd Sensing

Abstract : 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
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Conference papers
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Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Tuesday, January 26, 2016 - 4:06:45 PM
Last modification on : Monday, August 24, 2020 - 5:09:45 PM

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Bin Guo, Zhiwen Yu, Xingshe Zhou, Daqing Zhang. From participatory sensing to Mobile Crowd Sensing. PERCOM Workshops 2014 : IEEE International Conference on Pervasive Computing and Communications, Mar 2014, Budapest, Hungary. pp.593 - 598, ⟨10.1109/PerComW.2014.6815273⟩. ⟨hal-01262359⟩



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