Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks

Adham Sabra; Wai Keug Fung; Prabhu Radhakrishna

doi:10.1109/OCEANS.2018.8604878

Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks

Adham Sabra
, Wai Keug Fung
, Prabhu Radhakrishna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However, online simultaneous tracking of large-scale mobile sensor network is still a very challenging research area due to the high cost and the very limited number of vehicles that can be simultaneously localized using Ultra-Short Base Line (USBL) system. We propose a confidence-based localization algorithm for large-scale underwater mobile sensor networks that employs high precision localized sensor nodes in neighboring sensor nodes localization. Numerical simulation shows that a swarm of 100 sensor nodes can be tracked using a single USBL system, range measurement sensors and communication modems.

Original language	English
Title of host publication	OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538648148
DOIs	https://doi.org/10.1109/OCEANS.2018.8604878
Publication status	Published - 10 Jan 2019
Externally published	Yes
Event	OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 - Charleston, United States Duration: 22 Oct 2018 → 25 Oct 2018

Publication series

Name	OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

Conference

Conference	OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018
Country/Territory	United States
City	Charleston
Period	22/10/18 → 25/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Belief function
Confidence value
Cooperative localization
Trilateration
Underwater localization

Access to Document

10.1109/OCEANS.2018.8604878

Cite this

@inproceedings{e43fa08397fe44c4bdb48a39777a2cdd,

title = "Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks",

abstract = "The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However, online simultaneous tracking of large-scale mobile sensor network is still a very challenging research area due to the high cost and the very limited number of vehicles that can be simultaneously localized using Ultra-Short Base Line (USBL) system. We propose a confidence-based localization algorithm for large-scale underwater mobile sensor networks that employs high precision localized sensor nodes in neighboring sensor nodes localization. Numerical simulation shows that a swarm of 100 sensor nodes can be tracked using a single USBL system, range measurement sensors and communication modems.",

keywords = "Belief function, Confidence value, Cooperative localization, Trilateration, Underwater localization",

author = "Adham Sabra and Fung, \{Wai Keug\} and Prabhu Radhakrishna",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 ; Conference date: 22-10-2018 Through 25-10-2018",

year = "2019",

month = jan,

day = "10",

doi = "10.1109/OCEANS.2018.8604878",

language = "English",

series = "OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018",

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

booktitle = "OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018",

}

Sabra, A, Fung, WK & Radhakrishna, P 2019, Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks. in OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018., 8604878, OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018, Institute of Electrical and Electronics Engineers Inc., OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018, Charleston, United States, 22/10/18. https://doi.org/10.1109/OCEANS.2018.8604878

Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks. / Sabra, Adham; Fung, Wai Keug; Radhakrishna, Prabhu.
OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8604878 (OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks

AU - Sabra, Adham

AU - Fung, Wai Keug

AU - Radhakrishna, Prabhu

PY - 2019/1/10

Y1 - 2019/1/10

N2 - The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However, online simultaneous tracking of large-scale mobile sensor network is still a very challenging research area due to the high cost and the very limited number of vehicles that can be simultaneously localized using Ultra-Short Base Line (USBL) system. We propose a confidence-based localization algorithm for large-scale underwater mobile sensor networks that employs high precision localized sensor nodes in neighboring sensor nodes localization. Numerical simulation shows that a swarm of 100 sensor nodes can be tracked using a single USBL system, range measurement sensors and communication modems.

AB - The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However, online simultaneous tracking of large-scale mobile sensor network is still a very challenging research area due to the high cost and the very limited number of vehicles that can be simultaneously localized using Ultra-Short Base Line (USBL) system. We propose a confidence-based localization algorithm for large-scale underwater mobile sensor networks that employs high precision localized sensor nodes in neighboring sensor nodes localization. Numerical simulation shows that a swarm of 100 sensor nodes can be tracked using a single USBL system, range measurement sensors and communication modems.

KW - Belief function

KW - Confidence value

KW - Cooperative localization

KW - Trilateration

KW - Underwater localization

UR - https://www.scopus.com/pages/publications/85061801769

U2 - 10.1109/OCEANS.2018.8604878

DO - 10.1109/OCEANS.2018.8604878

M3 - Conference contribution

AN - SCOPUS:85061801769

T3 - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

BT - OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018

Y2 - 22 October 2018 through 25 October 2018

ER -

Confidence-based Underwater Localization Scheme for Large-Scale Mobile Sensor Networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this