Design and Development of Low Cost Coral Monitoring System for Shallow Water Based on Internet of Underwater Things

Authors

  • Abid Famasya Abdillah Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Muhammad Herwindra Berlian Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Yohanes Yohanie Fridelin Panduman Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Muhammad Aditya Wildan Akbar Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Marlanisa Arifatul Afifah Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Anang Tjahjono Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Sritrusta Sukaridhoto Electronik Engineering Polytechnic Institute of Surabaya, Surabaya 60111, Indonesia.
  • Shiori Sasaki Multi Database and Multimedia Database Laboratory, Keio University (Shonan Fujisawa Campus), Japan.

Keywords:

Internet of Underwater Things, Coral Bleaching, Underwater Monitoring, Low Cost System,

Abstract

Coral monitoring has become major focus to prevent coral bleaching so that various methods have been developed by researchers to analyze coral reefs’ health. This paper proposed a low-cost coral monitoring system based for shallow water based on IoUT architecture. The proposed system consists of buoy as base component, controller unit based on Single Board Computer equipped with 5V power source, underwater camera and communication unit to send data into cloud server. This system is able to extend WiFi signal from underwater camera by using coaxial cable and transmit image into cloud server. From experiment, we measured that reliability delay using coaxial cable to capture and save image is 5,6 seconds. Results on cloud server experiment indicate distributed server’s performance is 186,6 seconds comparing to 53,6 seconds on single server. Moreover, we also have developed bleaching classification resulting 84,3% correct results and an online representation model of retrieved coral images.

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Published

2017-06-01

How to Cite

Abdillah, A. F., Berlian, M. H., Fridelin Panduman, Y. Y., Akbar, M. . A. W., Afifah, M. A., Tjahjono, A., Sukaridhoto, S., & Sasaki, S. (2017). Design and Development of Low Cost Coral Monitoring System for Shallow Water Based on Internet of Underwater Things. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-5), 97–101. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2406