Suave: Swarm underwater autonomous vehicle localization

Jun Liu; Zhaohui Wang; Zheng Peng; Jun Hong Cui; Lance Fiondella

doi:10.1109/INFOCOM.2014.6847925

Suave: Swarm underwater autonomous vehicle localization

Jun Liu
, Zhaohui Wang
, Zheng Peng
, Jun Hong Cui
, Lance Fiondella

Chinese Academy of Sciences
Michigan Technological University
University of Connecticut
University of Massachusetts Dartmouth

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

61 Scopus citations

Abstract

Swarms of autonomous underwater vehicles (AUVs) forming mobile underwater networks often operate in moving currents, which introduce severe turbulence that interferes with coordinated and stealthy navigation of fleet. Therefore, individual AUV must adjust their heading whenever needed to ensure it can reach a pre-determined destination. To achieve accurate navigation, AUVs must maintain precise knowledge of their locations. This paper develops the 'Suave' (Swarm underwater autonomous vehicle localization) algorithm to localize swarms of AUVs operating in rough waters. The purpose of Suave is to ensure that all AUVs arrive at their destinations by preserving localization throughout the entire mission. Suave lowers the probability that an AUV swarm is detected by reducing the number of occasions that vehicles must surface to obtain accurate location information from external sources such as satellites. The Suave algorithm also achieves better energy conservation through improved control of localization reference messages. Simulations show Suave significantly improves localization accuracy, lowers energy consumption, and the probability of swarm detection.

Original language	English
Title of host publication	IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	64-72
Number of pages	9
ISBN (Print)	9781479933600
DOIs	https://doi.org/10.1109/INFOCOM.2014.6847925
State	Published - 2014
Externally published	Yes
Event	33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada Duration: 27 Apr 2014 → 2 May 2014

Publication series

Name	Proceedings - IEEE INFOCOM
ISSN (Print)	0743-166X

Conference

Conference	33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
Country/Territory	Canada
City	Toronto, ON
Period	27/04/14 → 2/05/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

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10.1109/INFOCOM.2014.6847925

Cite this

@inproceedings{65c14c6863cb4cab9ce7a1fccb9ddd35,

title = "Suave: Swarm underwater autonomous vehicle localization",

abstract = "Swarms of autonomous underwater vehicles (AUVs) forming mobile underwater networks often operate in moving currents, which introduce severe turbulence that interferes with coordinated and stealthy navigation of fleet. Therefore, individual AUV must adjust their heading whenever needed to ensure it can reach a pre-determined destination. To achieve accurate navigation, AUVs must maintain precise knowledge of their locations. This paper develops the 'Suave' (Swarm underwater autonomous vehicle localization) algorithm to localize swarms of AUVs operating in rough waters. The purpose of Suave is to ensure that all AUVs arrive at their destinations by preserving localization throughout the entire mission. Suave lowers the probability that an AUV swarm is detected by reducing the number of occasions that vehicles must surface to obtain accurate location information from external sources such as satellites. The Suave algorithm also achieves better energy conservation through improved control of localization reference messages. Simulations show Suave significantly improves localization accuracy, lowers energy consumption, and the probability of swarm detection.",

author = "Jun Liu and Zhaohui Wang and Zheng Peng and Cui, \{Jun Hong\} and Lance Fiondella",

year = "2014",

doi = "10.1109/INFOCOM.2014.6847925",

language = "英语",

isbn = "9781479933600",

series = "Proceedings - IEEE INFOCOM",

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

pages = "64--72",

booktitle = "IEEE INFOCOM 2014 - IEEE Conference on Computer Communications",

address = "美国",

note = "33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 ; Conference date: 27-04-2014 Through 02-05-2014",

}

Liu, J, Wang, Z, Peng, Z, Cui, JH & Fiondella, L 2014, Suave: Swarm underwater autonomous vehicle localization. in IEEE INFOCOM 2014 - IEEE Conference on Computer Communications., 6847925, Proceedings - IEEE INFOCOM, Institute of Electrical and Electronics Engineers Inc., pp. 64-72, 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014, Toronto, ON, Canada, 27/04/14. https://doi.org/10.1109/INFOCOM.2014.6847925

Suave: Swarm underwater autonomous vehicle localization. / Liu, Jun; Wang, Zhaohui; Peng, Zheng et al.
IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 2014. p. 64-72 6847925 (Proceedings - IEEE INFOCOM).

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

TY - GEN

T1 - Suave

T2 - 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014

AU - Liu, Jun

AU - Wang, Zhaohui

AU - Peng, Zheng

AU - Cui, Jun Hong

AU - Fiondella, Lance

PY - 2014

Y1 - 2014

N2 - Swarms of autonomous underwater vehicles (AUVs) forming mobile underwater networks often operate in moving currents, which introduce severe turbulence that interferes with coordinated and stealthy navigation of fleet. Therefore, individual AUV must adjust their heading whenever needed to ensure it can reach a pre-determined destination. To achieve accurate navigation, AUVs must maintain precise knowledge of their locations. This paper develops the 'Suave' (Swarm underwater autonomous vehicle localization) algorithm to localize swarms of AUVs operating in rough waters. The purpose of Suave is to ensure that all AUVs arrive at their destinations by preserving localization throughout the entire mission. Suave lowers the probability that an AUV swarm is detected by reducing the number of occasions that vehicles must surface to obtain accurate location information from external sources such as satellites. The Suave algorithm also achieves better energy conservation through improved control of localization reference messages. Simulations show Suave significantly improves localization accuracy, lowers energy consumption, and the probability of swarm detection.

AB - Swarms of autonomous underwater vehicles (AUVs) forming mobile underwater networks often operate in moving currents, which introduce severe turbulence that interferes with coordinated and stealthy navigation of fleet. Therefore, individual AUV must adjust their heading whenever needed to ensure it can reach a pre-determined destination. To achieve accurate navigation, AUVs must maintain precise knowledge of their locations. This paper develops the 'Suave' (Swarm underwater autonomous vehicle localization) algorithm to localize swarms of AUVs operating in rough waters. The purpose of Suave is to ensure that all AUVs arrive at their destinations by preserving localization throughout the entire mission. Suave lowers the probability that an AUV swarm is detected by reducing the number of occasions that vehicles must surface to obtain accurate location information from external sources such as satellites. The Suave algorithm also achieves better energy conservation through improved control of localization reference messages. Simulations show Suave significantly improves localization accuracy, lowers energy consumption, and the probability of swarm detection.

UR - https://www.scopus.com/pages/publications/84904410357

U2 - 10.1109/INFOCOM.2014.6847925

DO - 10.1109/INFOCOM.2014.6847925

M3 - 会议稿件

AN - SCOPUS:84904410357

SN - 9781479933600

T3 - Proceedings - IEEE INFOCOM

SP - 64

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BT - IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 27 April 2014 through 2 May 2014

ER -

Suave: Swarm underwater autonomous vehicle localization

Abstract

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