From participatory sensing to Mobile Crowd Sensing

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381 Scopus citations

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.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014
PublisherIEEE Computer Society
Pages593-598
Number of pages6
ISBN (Print)9781479927364
DOIs
StatePublished - 2014
Event12th IEEE International Conference on Pervasive Computing and Communications, PerCom Workshops 2014 - Budapest, Hungary
Duration: 24 Mar 201428 Mar 2014

Publication series

Name2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014

Conference

Conference12th IEEE International Conference on Pervasive Computing and Communications, PerCom Workshops 2014
Country/TerritoryHungary
CityBudapest
Period24/03/1428/03/14

Keywords

  • Hybrid human-machine intelligence
  • heterogeneous/cross-space data
  • mobile crowd sensing
  • participatory sensing

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