Constrained Localization in Static and Dynamic Sensor Networks (PREPRINT)

Abstract

In this note we propose to introduce physical constraints in the localization problem in sensor networks. This is based on extending the classical STRESS function from distance geometry and multidimensional scaling. We present the underlying framework and demonstrate its importance with three examples: penalizing the sensors for being in high elevation areas, removing sensors from forbidden areas, and forcing the sensors to be on pre-described curves. We also extend the work to dynamic environments.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA478739

Entities

People

  • Guillermo Sapiro
  • Mona Mahmoudi

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Angle Of Arrival
  • Computers
  • Detectors
  • Elevation
  • Environment
  • Equations
  • Geometry
  • Low Elevation
  • Mathematics
  • Minnesota
  • Mobile Phones
  • Networks
  • Optimization
  • Probability
  • Sensor Networks

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.