Dynamic Profiling and Optimization Methodologies for Sensor Networks

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

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter describes methods aimed at alleviating some of the complexities associated with sensor-based system design through the use of computer-aided design techniques. It presents a dynamic profiling and optimization platform (DPOP) capable of observing application-level behavior and dynamically tuning the underlying platform accordingly. Dynamic optimization relies upon accurate profiling results collected at runtime. There exists much research in the area of dynamic optimizations; however, most previous work has focused on the processor or memory in computer systems. Within the DPOP environment, dynamically profiling a sensor-based application requires profiling methods to be incorporated within each node to monitor the execution behavior for individual sensor nodes. The chapter shows the per-node dynamic optimization process, which is orchestrated by the dynamic optimization controller. The process consists of two operating modes: the one-shot mode, wherein the sensor-node operating state is directly determined, and the improvement mode, wherein the operating state is iteratively improved using an online optimization algorithm.

Original languageEnglish (US)
Title of host publicationBuilding Sensor Networks
Subtitle of host publicationFrom Design to Applications
PublisherCRC Press
Number of pages30
ISBN (Electronic)9781466562738
ISBN (Print)9781466562721
StatePublished - Jan 1 2017

ASJC Scopus subject areas

  • General Computer Science
  • General Physics and Astronomy


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