An optimal sonar placement approach for detecting underwater threats under budget limitations
Taofeek Biobaku,
Gino J. Lim (),
Selim Bora,
Jaeyoung Cho and
Hamid Parsaei
Additional contact information
Taofeek Biobaku: University of Houston
Gino J. Lim: University of Houston
Selim Bora: Texas A&M University at Qatar
Jaeyoung Cho: University of Houston
Hamid Parsaei: Texas A&M University at Qatar
Journal of Transportation Security, 2016, vol. 9, issue 1, No 2, 17-34
Abstract:
Abstract Providing surveillance to maritime infrastructures against imminent threats is studied in this paper. Surveillance is achieved with the aid of optimally placed sonars. Under a budget-limited deployment strategy involving both static and mobile sonars, a new optimization model using hexagonal grid systems is proposed. Numerical results suggest our approach delivers acceptable detection coverage under a multi-period placement scheme.
Keywords: Grid system; Sonar placement; Underwater threat detection; Mixed-integer programming; Optimization model (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12198-015-0164-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jtrsec:v:9:y:2016:i:1:d:10.1007_s12198-015-0164-8
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12198
DOI: 10.1007/s12198-015-0164-8
Access Statistics for this article
Journal of Transportation Security is currently edited by Andrew Thomas
More articles in Journal of Transportation Security from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().