An evolving power saving model for monitoring sensor networks using cellular automata

  • Authors:
  • Ryan Barnard

  • Affiliations:
  • Elon University, Elon, NC

  • Venue:
  • Proceedings of the 43rd annual Southeast regional conference - Volume 2
  • Year:
  • 2005

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Abstract

In this paper, we present a method which uses a genetic algorithm to identify the best cellular automata to govern the time a given node is on/off, ultimately minimizing the power consumption, or any other quantifiable metric, of the device.