Statistical-Mechanics-Inspired Optimization of Sensor Field Configuration for Detection of Mobile Targets (PREPRINT)

Abstract

This paper presents a statistical-mechanics-inspired procedure for optimization of the sensor field configuration to detect mobile targets. The key idea is to capture the low-dimensional behavior of the sensor field configurations across the Pareto front in a multiobjective scenario for optimal sensor deployment where the nondominated points are concentrated within a small region of the large-dimensional decision space. The sensor distribution is constructed using location-dependent energy-like functions and intensive temperature-like parameters in the sense of statistical mechanics. This low-dimensional representation is shown to permit rapid optimization of the sensor field distribution on a high-fidelity simulation test bed of distributed sensor networks.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA537557

Entities

People

  • Asok Ray
  • Kushal Mukherjee
  • Shalabh Gupta
  • Thomas Wettergren

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Communication Networks
  • Computational Complexity
  • Detection
  • Detectors
  • False Alarms
  • Genetic Algorithms
  • Mechanics
  • Military Research
  • Moving Targets
  • Multiobjective Optimization
  • Networks
  • Optimization
  • Sensor Networks
  • Statistical Mechanics
  • Target Detection
  • Wireless Sensor Networks

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Robotics and Automation.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects