Optimal sensor placement for underwater threat detection

Sergei Pashko, Anton Molyboha, Michael Zabarankin, Sergei Gorovyy

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The optimization framework for optimal sensor placement for underwater threat detection has been developed. It considers single-period and multiperiod detection models, each of which includes two components: detection algorithm and optimization problem for sensor placement. The detection algorithms for single-period and multiperiod models are based on likelihood ratio and sequential testing, respectively. For the both models, the optimization problems use the principle of superadditive coverage, which is closely related to energy-based and information-based approaches. An algorithm for quasi-regular sensor placement approximating solutions to the optimization problems has been developed based on corresponding continuous relaxations and a criterion for its applicability has been obtained. Numerical experiments have demonstrated that the algorithm consistently outperforms existing optimization techniques for optimal sensor placement.

Original languageEnglish
Pages (from-to)684-699
Number of pages16
JournalNaval Research Logistics
Volume55
Issue number7
DOIs
StatePublished - Oct 2008

Keywords

  • Optimization
  • Sensor network
  • Threat detection

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