• DocumentCode
    84745
  • Title

    QoI-Aware Energy-Efficient Participatory Crowdsourcing

  • Author

    Liu, Chi Harold ; Jun Fan ; Pan Hui ; Crowcroft, Jon ; Gangyi Ding

  • Author_Institution
    Dept. of Software Service Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    13
  • Issue
    10
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    3742
  • Lastpage
    3753
  • Abstract
    Today´s smartphones not only serve as a means of personal communication device, but are also fundamentally transforming the traditional understanding of crowdsourcing to an emerging type of participatory, task-oriented applications. It aims to support the so-called Citizen Science efforts for knowledge discovery, to understand the human behavior and measure/evaluate their opinions. In this paper, to facilitate the above scenarios, we propose a novel energy-efficient participatory crowdsourcing framework that meets the quality-of-information (QoI) requirements of the request in a distributed manner. Specifically, we extend the traditional framework of Gur Game for distributed decision-making to recommend the level of information contribution for each participant, by merging the multiple automaton chains into a single chain with multiple steady states. We evaluate the proposed scheme under the MIT social evolution data set, where the QoI requirements of the request are successfully achieved, with a satisfactory level of energy consumption fairness among participants, of negligible computational complexity. Finally, we explore the impact of community structure on the proposed algorithm, and propose a feasible method to facilitate the local data aggregation.
  • Keywords
    behavioural sciences computing; data mining; decision making; energy conservation; personal communication networks; quality of service; smart phones; Gur Game; MIT social evolution data set; QoI requirements; QoI-aware energy-efficient participatory crowdsourcing; citizen science; community structure; computational complexity; distributed decision-making; energy consumption fairness; human behavior; information contribution; knowledge discovery; local data aggregation; opinions; personal communication device; quality-of-information; smartphones; task-oriented applications; Participatory crowdsourcing; energy efficiency; gur Game; quality-of-information;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2265936
  • Filename
    6522522