From Participatory Sensing to Mobile Crowd Sensing
This is an incremental survey paper that organizes existing knowledge about MCS for researchers in mobile sensing and human-computer interaction.
This paper traces the evolution from participatory sensing to Mobile Crowd Sensing (MCS), a paradigm that leverages human participants through mobile devices for large-scale data collection, and proposes a reference framework while discussing future research directions.
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.