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 :
بازگشت