Calibration as parameter estimation in sensor networks

  • Authors:
  • Kamin Whitehouse;David Culler

  • Affiliations:
  • UC Berkeley, Berkeley, CA;UC Berkeley, Berkeley, CA

  • Venue:
  • WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe an ad-hoc localization system for sensor networks and explain why traditional calibration methods are inadequate for this system. Building upon previous work, we frame calibration as a parameter estimation problem; we parameterize each device and choose the values of those parameters that optimize the overall system performance. This method reduces our average error from 74.6% without calibration to 10.1%. We propose ways to expand this technique to a method of autocalibration for localization as well as to other sensor network applications.