Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system.
Sabra, Adham; Fung, Wai-Keung
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.
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)|
|Conference Location||Anchorage, USA|
|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||IEEE Institute of Electrical and Electronics Engineers|
|Keywords||Underwater mobile sensor nodes; Deep water localisation; Dynamic localisation plan; Fuzzy decision support system; Fuzzy logic|
SABRA 2017 Dynamic localization plan for underwater
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