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A mobile crowdsensing system enhanced by cloud-based social networking services

Authors :
Chunsheng Zhu
Qiang Liu
Xiping Hu
Terry H. S. Chu
Victor C. M. Leung
Henry C. B. Chan
Source :
MCS@Middleware
Publication Year :
2013
Publisher :
ACM, 2013.

Abstract

This paper presents TripleS, a novel mobile crowdsensing system enhanced by social networking services, which enables mobile users to participate and perform mobile crowdsensing tasks in an efficient manner. TripleS provides a flexible and universal architecture across mobile devices and cloud computing platforms by integrating the service-oriented architecture with multi-agent frameworks for mobile crowdsensing, with extensive supports to application developers and end users. The customized platform of TripleS enables dynamic deployments and collaborations of services and tasks during run-time of mobile devices. Our practical experiments show that TripleS performs its tasks with a considerable computation efficiency, and low computation and communication overhead on mobile devices. Also, the mobile crowdsensing application developed on TripleS demonstrates the functionalities and practical usage of TripleS.

Details

Database :
OpenAIRE
Journal :
Proceedings of the First International Workshop on Middleware for Cloud-enabled Sensing
Accession number :
edsair.doi...........c3787f6738490cdf80ea7b948a0d7ec1
Full Text :
https://doi.org/10.1145/2541603.2541604