Dynamic context-aware sensor selection for sequential hypothesis testing

Nurali Virani, Ji Woong Lee, Shashi Phoha, Asok Ray

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

3 Scopus citations

Abstract

Dynamic sensor selection rules are obtained based on a context-aware measurement model in the framework of sequential hypotheses testing. The notion of context incorporates the operational conditions that directly affect sensor measurements. While a random context leads to a Bayesian decision rule, an unknown but nonrandom context yields minimax game-based rules. In either case, the resulting sensor selection rule trades off decision performance against the cost of sensor activation and the uncertainty of the true context.

Original languageEnglish (US)
Title of host publication53rd IEEE Conference on Decision and Control,CDC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6889-6894
Number of pages6
EditionFebruary
ISBN (Electronic)9781479977468
DOIs
StatePublished - 2014
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: Dec 15 2014Dec 17 2014

Publication series

NameProceedings of the IEEE Conference on Decision and Control
NumberFebruary
Volume2015-February
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Country/TerritoryUnited States
CityLos Angeles
Period12/15/1412/17/14

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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