An Autonomous Sailboat for Environment Monitoring

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

Research output: Chapter in Book/Published conference outputConference publication

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 languageEnglish
Title of host publicationICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks
PublisherIEEE
Pages242-246
Number of pages5
ISBN (Electronic)978-1-6654-8550-0
ISBN (Print)978-1-6654-8551-7
DOIs
Publication statusPublished - 5 Jul 2022
Event2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN) - Barcelona, Spain
Duration: 5 Jul 20228 Jul 2022
https://ieeexplore.ieee.org/xpl/conhome/9829530/proceeding

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2022-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)
Country/TerritorySpain
CityBarcelona
Period5/07/228/07/22
Internet address

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was funded in part of the USM-University of Plymouth collaboration, Grant 3 4/PNAV/65 1 23/U157.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Autonomous sailboat
  • Environment Monitoring
  • Internet of Things
  • Remote sensing

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