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

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Industrial Networks and Intelligent Systems (INISCOM 2018)

Abstract

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 Thingspeak.com. 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.

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Acknowledgement

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 www.newtonfund.ac.uk/.

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Correspondence to Anand Nayyar .

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

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Nayyar, A., Ba, C.H., Cong Duc, N.P., Binh, H.D. (2019). Smart-IoUT 1.0: A Smart Aquatic Monitoring Network Based on Internet of Underwater Things (IoUT). In: Duong, T., Vo, NS. (eds) Industrial Networks and Intelligent Systems. INISCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-05873-9_16

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  • DOI: https://doi.org/10.1007/978-3-030-05873-9_16

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  • Print ISBN: 978-3-030-05872-2

  • Online ISBN: 978-3-030-05873-9

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