• DocumentCode
    1763794
  • Title

    Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions

  • Author

    Ju Ren ; Yaoxue Zhang ; Kuan Zhang ; Xuemin Shen

  • Author_Institution
    Central South Univ., Changsha, China
  • Volume
    53
  • Issue
    3
  • fYear
    2015
  • fDate
    42064
  • Firstpage
    98
  • Lastpage
    105
  • Abstract
    With the proliferation of increasingly powerful mobile devices, mobile users can collaboratively form a mobile cloud to provide pervasive services, such as data collecting, processing, and computing. With this mobile cloud, mobile crowdsourcing, as an emerging service paradigm, can enable mobile users to take over the outsourced tasks. By leveraging the sensing capabilities of mobile devices and integrating human intelligence and machine-computation, mobile crowdsourcing has the potential to revolutionize the approach of data collecting and processing. In this article we investigate the mobile crowdsourcing architecture and applications, then discuss some research challenges and countermeasures for developing mobile crowdsourcing. Some research orientations are finally envisioned for further studies.
  • Keywords
    cloud computing; mobile computing; data collection; data processing; human intelligence; machine-computation; mobile cloud; mobile crowdsourcing architecture; mobile devices; pervasive cloud services; sensing capabilities; Cloud computing; Crowdsourcing; Mobile communication; Mobile handsets; Resource management; Sensors; Servers;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2015.7060488
  • Filename
    7060488