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Energy conscious online architecture adaptation for varying latency constraints in sensor network applications

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Sensor network applications face continuously changing environments, which impose varying processing loads on the sensor node. This paper presents an online control method which adapts the architecture to minimize energy consumption while satisfying varying latency constraints. The method predicts processing load requirements over a finite time window and accordingly adapts the architecture. The behaviour of the hardware modules over time has been approximated with a Continuous Time Markov Process. Adaptive image processing for vehicle tracking was used as a case study for this approach.

Original languageEnglish
Title of host publicationCODES+ISSS 2005 - International Conference on Hardware/Software Codesign and Systems Synthesis
PublisherAssociation for Computing Machinery (ACM)
Pages148-153
Number of pages6
ISBN (Print)1595931619, 9781595931610
DOIs
StatePublished - 2005
Event3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis CODES+ISSS 2005 - Jersey City, NJ, United States
Duration: Sep 18 2005Sep 21 2005

Publication series

NameCODES+ISSS 2005 - International Conference on Hardware/Software Codesign and System Synthesis

Conference

Conference3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis CODES+ISSS 2005
Country/TerritoryUnited States
CityJersey City, NJ
Period09/18/0509/21/05

Keywords

  • Continuous Time Adaptation
  • Sensor Networks

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