TY - GEN
T1 - Dynamic localization plan for underwater mobile sensor nodes using fuzzy decision support system
AU - Sabra, Adham
AU - Fung, Wai Keung
N1 - Publisher Copyright:
© 2017 Marine Technology Society.
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 - http://www.scopus.com/inward/record.url?scp=85048152326&partnerID=8YFLogxK
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 -