Constrained Localization in Sensor Networks (Preprint)

Abstract

In this note we show how 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 it 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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2005
Accession Number
ADA516425

Entities

People

  • Guillermo Sapiro
  • Mona Mahmoudi

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Angle Of Arrival
  • Computers
  • Detectors
  • Elevation
  • Geometry
  • Index Terms
  • Information Operations
  • Low Elevation
  • Mathematics
  • Military Research
  • Minnesota
  • Mobile Phones
  • Networks
  • Probability
  • Sensor Networks

Fields of Study

  • Computer science

Readers

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