skip to main content
10.1145/2426656.2426714acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
research-article

The CLEO mobile sensing platform

Published:06 November 2012Publication History

ABSTRACT

We demonstrate the CLEO mobile sensing platform, including ultra-portable, low-power sensors, phone-based data upload software, and a location resolution and data management web service in the cloud. The sensing platform leverages cloud-offloaded GPS (CO-GPS) for location sensing. A sensor communicates with mobile devices using an audio-port-based connector. The back-end cloud service supports OData protocol to make data accessible to other systems, such as World-Wide Telescope (WWT).

References

  1. Y. Chen, Q. Wang, M. Chang, and A. Terzis. Ultra-low power time synchronization using passive radio receivers. In Proceedings of the 10th International Conference on Information Processing in Sensor Networks, IPSN'11. ACM, 2011.Google ScholarGoogle Scholar
  2. Y.-S. Kuo, S. Verma, T. Schmid, and P. Dutta. Hijacking power and bandwidth from the mobile phone's audio interface. In Proceedings of the First ACM Symposium on Computing for Development, ACM DEV '10, pages 24:1--24:10. ACM, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Liu, B. Priyantha, T. Hart, H. Ramos, A. A. F. Loureiro, and Q. Wang. Energy-efficient gps sensing with cloud offloading. In Proceedings of the 10th ACM Conference on Embedded Networked Sensor Systems, SenSys '12, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. The CLEO mobile sensing platform

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SenSys '12: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
        November 2012
        404 pages
        ISBN:9781450311694
        DOI:10.1145/2426656

        Copyright © 2012 Authors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 November 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate174of867submissions,20%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader