DocumentCode
3085772
Title
Constructing underwater sensor based barriers using distributed auctions
Author
Barr, Stanley ; Liu, Benyuan ; Wang, Jie
Author_Institution
Comput. Sci. Dept., Univ. of Massachusetts, Lowell, MA, USA
fYear
2009
fDate
18-21 Oct. 2009
Firstpage
1
Lastpage
7
Abstract
Technology advancement has allowed submarines to evade standard sonar detection. A viable alternative is to place magnetic or acoustic sensors in close proximity to possible underwater pathways of submarines. This approach may require deploying large-scale underwater sensor networks to form 3-dimensional barriers. We devise an energy-conserving scheme to construct 3-dimensional barriers using mobile sensors. We focus on developing an energy efficient matching of mobile sensors to cover grid points using distributed auction algorithms. Specifically, we attempt to minimize the maximum travel distance for any one sensor to reach its assigned grid point. Through simulation, we show that the distributed auction based approach can offer reduced computation time and similar maximum travel distance as compared to the optimal solution. This provides a promising new approach to constructing barriers in 3-dimensional sensor networks. We, also, demonstrate a useful extension to the traditional auction algorithm. The extension allows for a larger set of sensors to bid for fewer coverage points. This has implications for reducing the maximal moving distance and limits the impact of sensor failure.
Keywords
distributed algorithms; object detection; underwater vehicles; wireless sensor networks; 3D barriers; distributed auction algorithms; energy conserving scheme; energy efficient matching; magnetic sensors; sonar detection; submarines underwater pathways; underwater sensor networks; Acoustic sensors; Computational modeling; Distributed computing; Drugs; Energy efficiency; Large-scale systems; Magnetic sensors; Sonar detection; Tiles; Underwater vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, 2009. MILCOM 2009. IEEE
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-5238-5
Electronic_ISBN
978-1-4244-5239-2
Type
conf
DOI
10.1109/MILCOM.2009.5379969
Filename
5379969
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