Compression-based energy efficient sensor data gathering framework for smartphones

M. A. Razzaque, Siobhan Clarke

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Smartphones with various embedded sensors and wirelessly connected external sensors will enable new applications across a wide variety of domains. Continuous or long-term sensing, processing, and communication of sensor data using smartphones will consume a significant amount of energy of the resource-constrained smartphones. Compression techniques, including predictive coding (PC) and compressed sensing (CS), are promising ways of minimizing energy consumption. A number of compression-based proposals are available to improve the energy efficiency in smartphones. Most of these proposals are sensor and application-specific, and their sampling rates may not be adaptive. This article proposes an energy efficient data gathering (DG) framework based on compression techniques, in particular as a component of a middleware for the smartphones. The framework adaptively selects the best possible compression technique (CT) for a sensor DG from a list of CTs, using the application's requirements and contexts. This work also presents a CS-based PC (CPC) to minimize the learning cost in PC. The framework includes the CPC along with other CTs and exploits context-aware adaptive sampling rate to improve energy efficiency. An initial evaluation of the framework using two real datasets highlights the potential of it and the CPC.

    Original languageEnglish
    Title of host publication2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages126-132
    Number of pages7
    ISBN (Electronic)9781509003044
    DOIs
    Publication statusPublished - 26 Sep 2016
    Event12th IEEE International Wireless Communications and Mobile Computing Conference - Paphos, Cyprus
    Duration: 5 Sep 20169 Sep 2016
    Conference number: 12

    Publication series

    Name2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016
    Name
    ISSN (Electronic)2376-6506

    Conference

    Conference12th IEEE International Wireless Communications and Mobile Computing Conference
    Abbreviated titleIWCMC 2016
    CountryCyprus
    CityPaphos
    Period5/09/169/09/16

    Fingerprint Dive into the research topics of 'Compression-based energy efficient sensor data gathering framework for smartphones'. Together they form a unique fingerprint.

  • Cite this

    Razzaque, M. A., & Clarke, S. (2016). Compression-based energy efficient sensor data gathering framework for smartphones. In 2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016 (pp. 126-132). [7577045] (2016 International Wireless Communications and Mobile Computing Conference, IWCMC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC.2016.7577045