Accession Number:

ADA537557

Title:

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

Descriptive Note:

Journal article preprint

Corporate Author:

NAVAL UNDERSEA WARFARE CENTER DIV NEWPORT RI

Report Date:

2010-11-01

Pagination or Media Count:

10.0

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.

Subject Categories:

  • Numerical Mathematics
  • Miscellaneous Detection and Detectors
  • Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE