• DocumentCode
    2388782
  • Title

    Decomposing power measurements for mobile devices

  • Author

    Rice, Andrew ; Hay, Simon

  • Author_Institution
    Comput. Lab., Univ. of Cambridge, Cambridge, UK
  • fYear
    2010
  • fDate
    March 29 2010-April 2 2010
  • Firstpage
    70
  • Lastpage
    78
  • Abstract
    Modern mobile phones are an appealing platform for pervasive computing applications. However, the complexity of these devices makes it difficult for developers to understand the power consumption of their applications. Our measurement framework is the first we have seen which can produce fine-grained, annotated traces of a phone´s power consumption and is designed to develop an understanding of how particular aspects of an application drive energy use. We are using our framework to analyse the power consumption of Android-based G1 and Magic handsets and show that particular choices of message size and send buffer can alter the energy required to send data by an order of magnitude in certain cases.
  • Keywords
    mobile computing; mobile handsets; power aware computing; Android-based G1 handset; Android-based Magic handset; mobile devices; power measurement decomposition; Application software; Energy consumption; Intelligent sensors; Laboratories; Mobile communication; Mobile handsets; Pervasive computing; Power measurement; Sensor phenomena and characterization; Telephone sets; energy measurement; mobile communication; power measurement; wireless LAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications (PerCom), 2010 IEEE International Conference on
  • Conference_Location
    Mannheim
  • Print_ISBN
    978-1-4244-5329-0
  • Electronic_ISBN
    978-1-4244-5328-3
  • Type

    conf

  • DOI
    10.1109/PERCOM.2010.5466991
  • Filename
    5466991