Practical sensor management for an energy-limited detection system

David M. Jun, Douglas L. Jones, Todd P. Coleman, Wendy J. Leonard, Rama Ratnam

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

Abstract

Real-time detection of intermittent events requires continual monitoring and processing of sensor data. A battery-powered device that supports multiple sensing modalities and processing algorithms has the potential to save energy by using expensive sensors and algorithms only when the event of interest is most likely to occur. To develop a policy for sensing and processing management, we adopt maximum sequential information gain as an objective criterion for such energy-limited systems, which can be solved via dynamic programming. For binary hypothesis testing with two sensing options, the optimal management policy is a simple two-threshold test on the posterior belief. Detection of bird presence/absence in a wildlife monitoring application shows up to a 37% reduction in error rate over standard constant-duty-cycle sensing.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages1641-1644
Number of pages4
DOIs
StatePublished - Oct 23 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: Mar 25 2012Mar 30 2012

Publication series

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

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period3/25/123/30/12

Keywords

  • Low-power systems
  • detection
  • sensor management
  • wildlife monitoring

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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