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
Link To Document