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

Adham Sabra; Wai Keung Fung

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

Adham Sabra
, Wai Keung Fung

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad mewn cynhadledd › adolygiad gan gymheiriaid

10 Dyfyniadau (Scopus)

Crynodeb

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.

Iaith wreiddiol	Saesneg
Teitl	OCEANS 2017 Anchorage
Cyhoeddwr	Institute of Electrical and Electronics Engineers Inc.
Tudalennau	1-8
Nifer y tudalennau	8
ISBN (Electronig)	9780692946909
Statws	Cyhoeddwyd - 19 Rhag 2017
Cyhoeddwyd yn allanol	Ie
Digwyddiad	OCEANS 2017 - Anchorage - Anchorage, Yr Unol Daleithiau Hyd: 18 Medi 2017 → 21 Medi 2017

Cyfres gyhoeddiadau

Enw	OCEANS 2017 - Anchorage
Cyfrol	2017-January

Cynhadledd

Cynhadledd	OCEANS 2017 - Anchorage
Gwlad/Tiriogaeth	Yr Unol Daleithiau
Dinas	Anchorage
Cyfnod	18/09/17 → 21/09/17

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

@inproceedings{6630d7685e824875b5eff9449a7135d3,

title = "Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system",

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.",

keywords = "Fuzzy decision support system, Underwater mobile sensor nodes, deep water localization, dynamic localization plan, fuzzy logic",

author = "Adham Sabra and Fung, \{Wai Keung\}",

note = "Publisher Copyright: {\textcopyright} 2017 Marine Technology Society.; OCEANS 2017 - Anchorage ; Conference date: 18-09-2017 Through 21-09-2017",

year = "2017",

month = dec,

day = "19",

language = "English",

series = "OCEANS 2017 - Anchorage",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--8",

booktitle = "OCEANS 2017 Anchorage",

}

Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system. / Sabra, Adham; Fung, Wai Keung.
OCEANS 2017 Anchorage. Institute of Electrical and Electronics Engineers Inc., 2017. t. 1-8 (OCEANS 2017 - Anchorage; Cyfrol 2017-January).

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad mewn cynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system

AU - Sabra, Adham

AU - Fung, Wai Keung

PY - 2017/12/19

Y1 - 2017/12/19

N2 - 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.

AB - 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.

KW - Fuzzy decision support system

KW - Underwater mobile sensor nodes

KW - deep water localization

KW - dynamic localization plan

KW - fuzzy logic

UR - https://www.scopus.com/pages/publications/85048152326

M3 - Conference contribution

AN - SCOPUS:85048152326

T3 - OCEANS 2017 - Anchorage

SP - 1

EP - 8

BT - OCEANS 2017 Anchorage

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - OCEANS 2017 - Anchorage

Y2 - 18 September 2017 through 21 September 2017

ER -