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

Sabra, Adham; Fung, Wai-Keung

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

• Presentation Conference Type: Conference Paper (published)
• 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 (IEEE)
• Peer Reviewed: Peer Reviewed
• 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/
• Contract Date: Jan 30, 2018