An Autonomous Sailboat for Environment Monitoring

Yee Teng Ang; Wey Kean Ng; Yung Wey Chong; Jian Wan; Su Yin Chee; Louise B. Firth

doi:10.1109/ICUFN55119.2022.9829573

An Autonomous Sailboat for Environment Monitoring

Yee Teng Ang
, Wey Kean Ng
, Yung Wey Chong
, Jian Wan
, Su Yin Chee
, Louise B. Firth

Universiti Sains Malaysia
Aston University

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

Abstract

The marine environment is constantly at risk from coastal urbanization. The deterioration of coastal and marine environments is evidenced by the decline of mangroves and the biodiversity of such environments and increasing recurrences of algal and jellyfish blooms. There is a lack of environmental data especially in developing countries such as Malaysia to determine the sustainability and impact of the current development on coastal resources. We developed an autonomous sailboat that utilizes the Internet of things technology to collect and analyze ocean water quality data for local authorities to obtain insights into the sustainable development of coastal resources. The USV is equipped with sensors, microcontrollers, and a wireless communication module based on ZigBee standards to allow sending water quality data to a gateway located at the shore. The data collected by the USV will be processed by a cloud server and visualized through user applications.

Original language	English
Title of host publication	ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	242-246
Number of pages	5
ISBN (Electronic)	9781665485500
DOIs	https://doi.org/10.1109/ICUFN55119.2022.9829573
Publication status	Published - 2022
Externally published	Yes
Event	13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 - Virtual, Barcelona, Spain Duration: 5 Jul 2022 → 8 Jul 2022

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2022-July
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	13th International Conference on Ubiquitous and Future Networks, ICUFN 2022
Country/Territory	Spain
City	Virtual, Barcelona
Period	5/07/22 → 8/07/22

UN SDGs

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

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 14 Life Below Water

Keywords

Autonomous sailboat
Environment Monitoring
Internet of Things
Remote sensing

Access to Document

10.1109/ICUFN55119.2022.9829573

Cite this

Ang, Y. T., Ng, W. K., Chong, Y. W., Wan, J., Chee, S. Y., & Firth, L. B. (2022). An Autonomous Sailboat for Environment Monitoring. In ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks (pp. 242-246). (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2022-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN55119.2022.9829573

@inproceedings{9e56839565894ec3b04730909606a662,

title = "An Autonomous Sailboat for Environment Monitoring",

abstract = "The marine environment is constantly at risk from coastal urbanization. The deterioration of coastal and marine environments is evidenced by the decline of mangroves and the biodiversity of such environments and increasing recurrences of algal and jellyfish blooms. There is a lack of environmental data especially in developing countries such as Malaysia to determine the sustainability and impact of the current development on coastal resources. We developed an autonomous sailboat that utilizes the Internet of things technology to collect and analyze ocean water quality data for local authorities to obtain insights into the sustainable development of coastal resources. The USV is equipped with sensors, microcontrollers, and a wireless communication module based on ZigBee standards to allow sending water quality data to a gateway located at the shore. The data collected by the USV will be processed by a cloud server and visualized through user applications.",

keywords = "Autonomous sailboat, Environment Monitoring, Internet of Things, Remote sensing",

author = "Ang, \{Yee Teng\} and Ng, \{Wey Kean\} and Chong, \{Yung Wey\} and Jian Wan and Chee, \{Su Yin\} and Firth, \{Louise B.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 ; Conference date: 05-07-2022 Through 08-07-2022",

year = "2022",

doi = "10.1109/ICUFN55119.2022.9829573",

language = "English",

series = "International Conference on Ubiquitous and Future Networks, ICUFN",

publisher = "IEEE Computer Society",

pages = "242--246",

booktitle = "ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks",

address = "United States",

}

Ang, YT, Ng, WK, Chong, YW, Wan, J, Chee, SY & Firth, LB 2022, An Autonomous Sailboat for Environment Monitoring. in ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks. International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2022-July, IEEE Computer Society, pp. 242-246, 13th International Conference on Ubiquitous and Future Networks, ICUFN 2022, Virtual, Barcelona, Spain, 5/07/22. https://doi.org/10.1109/ICUFN55119.2022.9829573

An Autonomous Sailboat for Environment Monitoring. / Ang, Yee Teng; Ng, Wey Kean; Chong, Yung Wey et al.
ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2022. p. 242-246 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2022-July).

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

TY - GEN

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AU - Ang, Yee Teng

AU - Ng, Wey Kean

AU - Chong, Yung Wey

AU - Wan, Jian

AU - Chee, Su Yin

AU - Firth, Louise B.

PY - 2022

Y1 - 2022

N2 - The marine environment is constantly at risk from coastal urbanization. The deterioration of coastal and marine environments is evidenced by the decline of mangroves and the biodiversity of such environments and increasing recurrences of algal and jellyfish blooms. There is a lack of environmental data especially in developing countries such as Malaysia to determine the sustainability and impact of the current development on coastal resources. We developed an autonomous sailboat that utilizes the Internet of things technology to collect and analyze ocean water quality data for local authorities to obtain insights into the sustainable development of coastal resources. The USV is equipped with sensors, microcontrollers, and a wireless communication module based on ZigBee standards to allow sending water quality data to a gateway located at the shore. The data collected by the USV will be processed by a cloud server and visualized through user applications.

AB - The marine environment is constantly at risk from coastal urbanization. The deterioration of coastal and marine environments is evidenced by the decline of mangroves and the biodiversity of such environments and increasing recurrences of algal and jellyfish blooms. There is a lack of environmental data especially in developing countries such as Malaysia to determine the sustainability and impact of the current development on coastal resources. We developed an autonomous sailboat that utilizes the Internet of things technology to collect and analyze ocean water quality data for local authorities to obtain insights into the sustainable development of coastal resources. The USV is equipped with sensors, microcontrollers, and a wireless communication module based on ZigBee standards to allow sending water quality data to a gateway located at the shore. The data collected by the USV will be processed by a cloud server and visualized through user applications.

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KW - Internet of Things

KW - Remote sensing

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DO - 10.1109/ICUFN55119.2022.9829573

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AN - SCOPUS:85135204081

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ER -

An Autonomous Sailboat for Environment Monitoring

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this