Evaluation of dynamic profiling methodologies for optimization of sensor networks

Ashish Shenoy, Jeff Hiner, Susan Lysecky, Roman L Lysecky, Ann Gordon-Ross

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

To reduce the complexity associated with application-specific tuning of sensor-based systems, dynamic profiling enables an accurate view of the application behavior, such that the network can be reoptimized at runtime in response to changing application behavior or environmental conditions. However, dynamic profiling must be able to accurately capture application behavior without incurring significant runtime overheads. We present several profiling methods for dynamically monitoring sensor-based platforms and analyze the associated network traffic, energy, and code impacts.

Original languageEnglish (US)
Article number5430950
Pages (from-to)10-13
Number of pages4
JournalIEEE Embedded Systems Letters
Volume2
Issue number1
DOIs
StatePublished - Mar 2010

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Sensor networks
Sensors
Dynamical systems
Tuning
Monitoring

Keywords

  • Application-specific optimization
  • Design automation
  • Dynamic profiling
  • Sensor networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

Cite this

Evaluation of dynamic profiling methodologies for optimization of sensor networks. / Shenoy, Ashish; Hiner, Jeff; Lysecky, Susan; Lysecky, Roman L; Gordon-Ross, Ann.

In: IEEE Embedded Systems Letters, Vol. 2, No. 1, 5430950, 03.2010, p. 10-13.

Research output: Contribution to journalArticle

Shenoy, Ashish ; Hiner, Jeff ; Lysecky, Susan ; Lysecky, Roman L ; Gordon-Ross, Ann. / Evaluation of dynamic profiling methodologies for optimization of sensor networks. In: IEEE Embedded Systems Letters. 2010 ; Vol. 2, No. 1. pp. 10-13.
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