A Framework for Measuring Tracking Performance of a Sensor Network

Abstract

A framework and analysis for a distributed sensor network based surveillance system is presented here. In a previous effort we have presented methodologies for coordination and decision-making amongst sensors for tracking targets while in [2] we presented the results of endowing the sensor network with autonomy. Sensors monitor targets that crisscross a rectangular surveillance zone. When a sensor pursuits a target it leaves areas unguarded through which other targets can get past undetected. In this paper we presents a methodology that computes the tracking time for a sensor that guarantee detection of a required fraction of the targets expected to crisscross its home area to an arbitrary probabilistic threshold. The home area of the sensor is the area guarded by it when it is stationed at its home position, its default position when it is not in pursuit of a target. Simulations are presented that corroborate with the probabilistic model developed and hence vindicate its correctness. A framework for extending the probabilistic model to a system where multiple sensors guard the same area is also presented.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA515706

Entities

People

  • Henry Hexmoor
  • K. M. Krishna

Organizations

  • University of Arkansas

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Autonomous Systems
  • Computations
  • Computer Science
  • Data Association
  • Detection
  • Detectors
  • Intelligent Systems
  • Multitarget Tracking
  • Networks
  • Probabilistic Models
  • Probability
  • Random Variables
  • Robotics
  • Sensor Networks
  • Simulations
  • Target Tracking
  • Wireless Sensor Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Networking
  • Marksmanship and Weaponry.
  • Military History of the United States in the 20th Century.