Accession Number:

ADA516425

Title:

Constrained Localization in Sensor Networks (Preprint)

Descriptive Note:

Corporate Author:

MINNESOTA UNIV MINNEAPOLIS INST FOR MATHEMATICS AND ITS APPLICATIONS

Personal Author(s):

• Mahmoudi, Mona
• Sapiro, Guillermo

Report Date:

2005-10-01

Pagination or Media Count:

6.0

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.

Descriptors:

• *NETWORKS
• *SCALING FACTOR
• *DETECTORS
• ELEVATION
• GEOMETRY
• FUNCTIONS
• ALGORITHMS

Subject Categories:

• Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE