Smart-IoUT 1.0: A Smart Aquatic Monitoring Network Based on Internet of Underwater Things (IoUT)

  • Anand NayyarEmail author
  • Cuong Huynh Ba
  • Nguyen Pham Cong Duc
  • Ha Dac Binh
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 257)


Internet of Underwater Things (IoUT) is defined as a network of smart interconnected underwater objects for monitoring/carrying out underwater operations. IoUT enables a system of autonomous underwater vehicles (AUV) communicating with each other, sensing, collecting and transmitting data to control centers above the surface at regular Internet speeds. The information could be a great source to carry out a wide range of tasks like crash surveying, shipwrecks discovery, detection of tsunamis early signs, animal health monitoring as well as collecting real-time aquatic information, archaeological expeditions etc. This paper analyzes the complete terminology of IoUT - Concept, Architecture and challenges. In addition to this, a novel IoUT based working prototype, i.e. Smart IoUT 1.0 is proposed for sensing and collecting underwater information. Smart IoUT 1.0 is equipped with 2 sensing nodes containing 4 different sensors - EZO Dissolved Oxygen Sensor, DS18B20 Temperature sensor, pH analog and Water Turbidity Sensor for acquiring live data and access it anywhere via Internet using The paper provides strong base ground for researchers to tackle serious challenges posed by IoUT as extending the concept of IoT to underwater is completely different.


Internet of Underwater Things (IoUT) Internet of Things (IoT) Architecture Challenges Underwater Sensor Networks (UWSN) Smart IoUT 1.0 Node MCU ESP8266 development board Underwater monitoring Sensors 



This work was supported by Newton Prize 2017 and by a Research Environment Links grant, ID 339568416, under the Newton Programme Vietnam partnership. The grant is funded by the UK Department of Business, Energy and Industrial Strategy (BEIS) and delivered by the British Council. For further information, please visit


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Anand Nayyar
    • 1
    • 2
    Email author
  • Cuong Huynh Ba
    • 1
    • 2
  • Nguyen Pham Cong Duc
    • 1
    • 2
  • Ha Dac Binh
    • 1
    • 2
  1. 1.Graduate SchoolDuy Tan UniversityDa NangVietnam
  2. 2.Faculty of Electronics and Electrical EngineeringDuy Tan UniversityDa NangVietnam

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