Movement detection for power-efficient smartphone WLAN localization

  • Authors:

  • Ilari Shafer;Mark L. Chang

  • Affiliations:

  • Olin College of Engineering, Needham, MA, USA;Olin College of Engineering, Needham, MA, USA

  • Venue:
  • Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
  • Year:
  • 2010

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Abstract

Mobile phone services based on the location of a user have increased in popularity and importance, particularly with the proliferation of feature-rich smartphones. One major obstacle to the widespread use of location-based services is the limited battery life of these mobile devices and the high power costs of many existing approaches. We demonstrate the effectiveness of a localization strategy that performs full localization only when it detects a user has finished moving. We characterize the power use of a smartphone, then verify our strategy using models of long-term walk behavior, recorded data, and device implementation. For the same sample period, our movement-informed strategy reduces power consumption compared to existing approaches by more than 80% with an impact on accuracy of less than 5%. This difference can help achieve the goal of near-continuous localization on mobile devices.