• DocumentCode
    1796753
  • Title

    Modeling WiFi Active Power/Energy Consumption in Smartphones

  • Author

    Li Sun ; Sheshadri, Ramanujan K. ; Wei Zheng ; Koutsonikolas, Dimitrios

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    41
  • Lastpage
    51
  • Abstract
    We conduct the first detailed measurement study of the properties of a class of WiFi active power/energy consumption models based on parameters readily available to smartphone app developers. We first consider a number of parameters used by previous models and show their limitations. We then focus on a recent approach modeling the active power consumption as a function of the application layer throughput. Using a large dataset and an 802.11n-equipped smartphone, we build four versions of a previously proposed linear power-throughput model, which allow us to explore the fundamental trade off between accuracy and simplicity. We study the properties of the model in relation to other parameters such as the packet size and/or the transport layer protocol, and we evaluate its accuracy under a variety of scenarios which have not been considered in previous studies. Our study shows that the model works well in a number of scenarios but its accuracy drops with high throughput values or when tested on different hardware. We further show that a non-linear model can greatly improve the accuracy in these two cases.
  • Keywords
    smart phones; telecommunication power management; wireless LAN; 802.11n-equipped smartphone; WiFi active energy consumption models; WiFi active power consumption models; application layer throughput; linear power-throughput model; nonlinear model; packet size; transport layer protocol; Accuracy; Energy consumption; IEEE 802.11 Standards; Mathematical model; Power demand; Smart phones; Throughput; WiFi; energy; power; smartphones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
  • Conference_Location
    Madrid
  • ISSN
    1063-6927
  • Print_ISBN
    978-1-4799-5168-0
  • Type

    conf

  • DOI
    10.1109/ICDCS.2014.13
  • Filename
    6888881