Dynamic Localization Plan for Underwater Mobile Sensor Nodes using Fuzzy Decision Support System

Sabra, Adham ORCID: 0000-0003-1484-1399 and Fung, Wai-keung (2017) Dynamic Localization Plan for Underwater Mobile Sensor Nodes using Fuzzy Decision Support System. .

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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 cost-effective localization system by harnessing all available localization methods on-board.

Item Type:	Conference or Workshop Item (Unspecified)
Uncontrolled Keywords:	Underwater mobile sensor nodes, deep water localization, dynamic localization plan, Fuzzy decision support system, fuzzy logic
Depositing User:	Symplectic Admin
Date Deposited:	21 Aug 2020 07:29
Last Modified:	18 Jan 2023 23:36
Related URLs:	Author
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3098221