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/Report/Conference proceedingsChapterpeer-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 languageEnglish
Title of host publicationICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages242-246
Number of pages5
ISBN (Electronic)9781665485500
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 - Virtual, Barcelona, Spain
Duration: 5 Jul 20228 Jul 2022

Publication series

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

Conference

Conference13th International Conference on Ubiquitous and Future Networks, ICUFN 2022
Country/TerritorySpain
CityVirtual, Barcelona
Period5/07/228/07/22

Keywords

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

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