Autonomous underwater vehicle in internet of underwater things: A survey

• Main Authors: Okereke, Chinonso, Abdul Wahab, Nur Haliza, Mohamad, Mohd. Murtadha, Zaleha, S. H.
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/96092/1/NurHaliza2021_AutonomousUnderwaterVehicleinInternetofUnderwaterThings.pdf; http://eprints.utm.my/id/eprint/96092/; http://dx.doi.org/10.1088/1742-6596/2129/1/012080

Water, mostly oceans, covers over two-third of the earth. About 95% of these oceans are yet to be explored which includes 99% of the sea-beds. The introduction of the Internet of Underwater Things (IoUT) underwater has become a powerful technology necessary to the quest to develop a SMART Ocean. Aut...