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IEEE Internet Computing
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IEEE Internet Computing
Article . 2012 . Peer-reviewed
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Crowdsourcing with Smartphones

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2012Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Internet Computing, volume 16, pages 36-44 (issn: 1089-7801, Copyright policy )
Authors: Chatzimilioudis, Georgios; Konstantinidis, Andreas; Laoudias, Christos; Zeinalipour-Yazdi, Constantinos D.; Chatzimilioudis, Georgios; Konstantinidis, Andreas; Laoudias, Christos; +1 Authors

doi: 10.1109/mic.2012.70

Crowdsourcing with Smartphones

Abstract

Smartphones can reveal crowdsourcing's full potential and let users transparently contribute to complex and novel problem solving. This emerging area is illustrated through a taxonomy that classifies the mobile crowdsourcing field and through three new applications that optimize location-based search and similarity services based on crowd-generated data. Such applications can be deployed on SmartLab, a cloud of more than 40 Android devices deployed at the University of Cyprus that provides an open testbed to facilitate research and development of smartphone applications on a massive scale.

Related Organizations
Keywords

Research and development, New applications, mobile networks, crowdsourcing, Location based services, Wireless networks, Location-based searches, smartphones

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 321
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
321
Top 1%
Top 1%
Top 1%
bronze