Skip to main content

Research Repository

Advanced Search

Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system.

Sabra, Adham; Fung, Wai-Keung

Authors

Adham Sabra

Wai-Keung Fung



Abstract

Underwater mobile sensor node localization is a key enabling technology for several subsea missions. A novel scalable underwater localization scheme, called Best Suitable Localization Algorithm (BLSA), is proposed to dynamically fuse multiple position estimates of sensor nodes using fuzzy logic, aiming at improving localization accuracy and availability along the whole trajectory in missions. Numerical simulation has been conducted to demonstrate significant improvement in localization accuracy and availability by using the proposed fuzzy inference system. The proposed method provides a costeffective localization system by harnessing all available localization methods on-board.

Citation

SABRA, A. and FUNG, W.-K. 2017. Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system. In Proceedings of OCEANS 2017, 18-21 September 2017, Anchorage, Alaska, USA. New York: IEEE [online], article number 8232185, pages 854-861. Available from: http://ieeexplore.ieee.org/document/8232185

Conference Name OCEANS 2017 (Anchorage)
Start Date Sep 18, 2017
End Date Sep 21, 2017
Acceptance Date May 8, 2017
Online Publication Date Sep 18, 2017
Publication Date Sep 21, 2017
Deposit Date Jan 30, 2018
Publicly Available Date Jan 30, 2018
Publisher Institute of Electrical and Electronics Engineers
Article Number 8232185
Pages 854-861
ISBN 9781509064298
Keywords Underwater mobile sensor nodes; Deep water localisation; Dynamic localisation plan; Fuzzy decision support system; Fuzzy logic
Public URL http://hdl.handle.net/10059/2702
Publisher URL http://ieeexplore.ieee.org/document/8232185/

Files





You might also like



Downloadable Citations