Applying models of user activity for dynamic power management in wireless devices

  • Authors:
  • Caleb Phillips;Suresh Singh;Douglas Sicker;Dirk Grunwald

  • Affiliations:
  • University of Colorado, Boulder, Colorado;Portland State University, Portland, Oregon;University of Colorado, Boulder, Colorado;University of Colorado, Boulder, Colorado

  • Venue:
  • Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
  • Year:
  • 2008

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Abstract

In this paper we use a large dataset of wireless user activity traces to test the various dynamic power management schemes. We also present and test our own empirically-driven dynamic power-saving algorithms, which are based on prior observations of user activity patterns. We believe that this sort of analysis can guide adoption of a user-behavior driven approach to radio and communications power management, and, in networking-centric devices, power management for the entire device. Additionally, understanding the characteristics of user-activity and efficient mechanisms to predict this activity can help inform the design of power-saving schemes for future networking protocols.