Implementing energy-efficient tracking in a sensor network

Kyle A. Harris, Venugopal V. Veeravalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An energy efficient sleep control algorithm is developed for application to the tracking problem in a wireless sensor network. This simple algorithm applies intuition gained by examining a more complicated dynamic programming solution approximation. The algorithm is shown through simulation analysis to exhibit improved efficiency beyond simple sensor duty cycling, very nearly achieving the effectiveness of the original dynamic programming solution. Additionally a testbed is developed specifically to evaluate the feasibility of implementation of the algorithm on a physical system. The algorithm is shown to work on this testbed, successfully tracking a light source in the network.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages4608-4612
Number of pages5
DOIs
StatePublished - Oct 18 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: May 26 2013May 31 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period5/26/135/31/13

Keywords

  • Energy Efficiency
  • Sleep Control
  • Tracking
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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