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

  • Authors:

  • Xiping Hu;Qiang Liu;Chunsheng Zhu;Victor C. M. Leung;Terry H. S. Chu;Henry C. B. Chan

  • Affiliations:

  • The University of British Columbia, Vancouver, Canada;National University of Defense Technology, Changsha, China;The University of British Columbia, Vancouver, Canada;The University of British Columbia, Vancouver, Canada;The Hong Kong Polytechnic University, Hongkong;The Hong Kong Polytechnic University, Hongkong

  • Venue:
  • Proceedings of the First International Workshop on Middleware for Cloud-enabled Sensing
  • Year:
  • 2013

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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.