IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i3p538937.html
   My bibliography  Save this article

MSF: An Efficient Mobile Phone Sensing Framework

Author

Listed:
  • Giuseppe Cardone
  • Andrea Cirri
  • Antonio Corradi
  • Luca Foschini
  • Dario Maio

Abstract

Recent evolutions in smartphones, today provided with several sensors, have the strong processing capabilities needed to extract from raw sensed data sensor meaningful high-level views of the physical context around the user. A new promising research area called mobile sensing promotes completely decentralized sensing based on smartphone capabilities only. However, current mobile sensing solutions are not very mature; yet, because they are based on ad hoc software solutions tailored to one specific technical problem (e.g., power management, resource locking, etc.), they are difficult to reuse and integrate in different projects, and they do not focus on the performance efficiency of the monitoring support. To overcome those limitations, this paper proposes Mobile Sensing Framework (MSF), a flexible platform to ease the development of mobile sensing applications through the definition of a common set of facilities that mask all low-level technical details in reading and processing raw sensor data. MSF has been optimized also to enhance performances for Android-based systems, and we report an extensive set of experimental results that assess our architecture and quantitatively compare it with a selection of other mobile sensing systems by showing that MSF outperforms them by presenting lower CPU usage and memory footprints.

Suggested Citation

  • Giuseppe Cardone & Andrea Cirri & Antonio Corradi & Luca Foschini & Dario Maio, 2013. "MSF: An Efficient Mobile Phone Sensing Framework," International Journal of Distributed Sensor Networks, , vol. 9(3), pages 538937-5389, March.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:3:p:538937
    DOI: 10.1155/2013/538937
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/538937
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/538937?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:9:y:2013:i:3:p:538937. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.