Algorithms for the Selection of the Active Sensors in Distributed Tracking: Comparison Between Frisbee and GNS Methods

Abstract

This paper compares two different approaches for sensor selection for distributed tracking: 1) The Frisbee method, and 2) Global Node Selection (GNS). The Frisbee method is based on the proximity of the nodes to the predicted location of the target; GNS is based on minimizing the unbiased Cramer Rao lower bound (CRLB). Both theoretical and experimental results indicate that the Frisbee method is as effective as GNS. Furthermore, the Frisbee method is attractive due to its very light computational load.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA523794

Entities

People

  • A. Capponi
  • A. Farina
  • C. Pilotto
  • G. Golino
  • Lance Kaplan

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Cartesian Coordinates
  • Computer Science
  • Detection
  • Detectors
  • Estimators
  • Mathematical Models
  • Military Research
  • Models
  • Network Topology
  • Networks
  • Probability
  • Sensor Networks
  • Simulations
  • Standards
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Parallel and Distributed Computing.
  • Statistical inference.