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

Adham Sabra, Wai Keung Fung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationOCEANS 2017 Anchorage
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9780692946909
Publication statusPublished - 19 Dec 2017
Externally publishedYes
EventOCEANS 2017 - Anchorage - Anchorage, United States
Duration: 18 Sept 201721 Sept 2017

Publication series

NameOCEANS 2017 - Anchorage
Volume2017-January

Conference

ConferenceOCEANS 2017 - Anchorage
Country/TerritoryUnited States
CityAnchorage
Period18/09/1721/09/17

Keywords

  • Fuzzy decision support system
  • Underwater mobile sensor nodes
  • deep water localization
  • dynamic localization plan
  • fuzzy logic

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