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Poster abstract: virtualizing external wireless sensors for designing personalized smartphone services

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Published:08 April 2013Publication History

ABSTRACT

By interacting with external sensors, smartphones can gather high-fidelity data on the surrounding environment to develop various environment-aware, personalized applications. In this work we introduce the sensor virtualization module (SVM) which virtualizes external sensors so that smartphone applications can easily utilize a large number of sensing resources. Implemented on the Android platform, our SVM simplifies the management of external sensors by abstracting them as virtual sensors to provide the capability of resolving conflicting data requests from multiple applications and also mashing-up sensing data from different sensors to create new customized sensors. We envision our SVM to open the possibilities of designing novel personalized smartphone applications

References

  1. Luigi Atzori, Antonio Iera, Giacomo Morabito, and Michele Nitti. The social internet of things: When social networks meet the internet of things: Concept, architecture and network characterization. Computer Networks, 56(16):3594 -- 3608, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Rohit Chaudhri, Waylon Brunette, Mayank Goel, Rita Sodt, Jaylen VanOrden, Michael Falcone, and Gaetano Borriello. Open data kit sensors: mobile data collection with wired and wireless sensors. In ACM Symposium on Computing for Development, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. JeongGil Ko, Stephen Dawson-Haggerty, David E. Culler, Jonthan W. Hui, Philip Levis, and Andreas Terzis. Connecting Low-power and Lossy Networks to the Internet. Communications Magazine, IEEE, 49(4):96--101, April 2011.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Poster abstract: virtualizing external wireless sensors for designing personalized smartphone services

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    • Published in

      cover image ACM Conferences
      IPSN '13: Proceedings of the 12th international conference on Information processing in sensor networks
      April 2013
      372 pages
      ISBN:9781450319591
      DOI:10.1145/2461381

      Copyright © 2013 Authors

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 8 April 2013

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      Acceptance Rates

      IPSN '13 Paper Acceptance Rate24of115submissions,21%Overall Acceptance Rate143of593submissions,24%

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