Assessing Design Tradeoffs in Deploying Undersea Distributed Sensor Networks

Abstract

In this paper we explore design issues in the deployment of distributed sensor networks (DSNs). In particular, the search performance of a notional surveillance network, and its dependence on sensor placement (for a fixed number of sensors) is studied. We describe a search objective for systems of sensors that utilize spatio-temporal techniques to combine individual sensor detections (which are spatially consistent with expected target behavior) in order to determine target existence in the field (track coverage). We utilize this objective in a genetic algorithm to optimize the search coverage as a function of the sensor density within a fixed search region. Target dynamics are treated as parameters with associated probability distributions, and enter the search objective as random parameters. We present several examples of optimal placement given target dynamics and sensor characteristics.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA516861

Entities

People

  • Russell Costa
  • Thomas Wettergren

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Emissions
  • Algorithms
  • Area Coverage
  • Detection
  • Detectors
  • Genetic Algorithms
  • Networks
  • Optimization
  • Probability
  • Sampling
  • Sensor Networks
  • Statistical Samples
  • Surveillance
  • Undersea Surveillance
  • Undersea Warfare
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Operations Research
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Biotechnology