Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks

Author:

Nkenyereye Lewis1ORCID,Nkenyereye Lionel2ORCID,Ndibanje Bruce3

Affiliation:

1. Department of Computer and Information Security, Sejong University, Seoul 05006, Republic of Korea

2. Research & Education Group of AI Convergence, Pukyong National University, Busan 48513, Republic of Korea

3. Vulnerability Management Team, World Food Programme Rome, Department of Information Technology, 77835 Latium, Italy

Abstract

The term “Internet of Underwater Things (IoUT)” refers to a network of intelligent interconnected underwater devices designed to monitor various underwater activities. The IoUT allows for a network of autonomous underwater vehicles (AUVs) to communicate with each other, sense their surroundings, collect data, and transmit them to control centers on the surface at typical Internet speeds. These data serve as a valuable resource for various tasks, including conducting crash surveys, discovering shipwrecks, detecting early signs of tsunamis, monitoring animal health, obtaining real-time aquatic information, and conducting archaeological expeditions. This paper introduces an additional set of alternative simulation tools for underwater networks. We categorize these tools into open-source and licensed simulator options and recommend that students consider using open-source simulators for monitoring underwater networks. There has not been widespread deployment or extensive research on underwater 5G-based networks. However, simulation tools provide some general insights into the challenges and potential issues associated with evaluating such networks, based on the characteristics of underwater communication and 5G, by surveying 5G-based underwater networks and 5G key aspects addressed by the research community in underwater network systems. Through an extensive review of the literature, we discuss the architecture of both Internet of Underwater application-assisted AUVs and Internet of Underwater Things communications in the 5G-based system.

Publisher

MDPI AG

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hybrid Optimization of Developed DEEC Protocol for Enhanced Energy Efficiency in IoUT;2024 9th International Conference on Mechatronics Engineering (ICOM);2024-08-13

2. An Energy Efficient Clustering for Underwater Acoustic Sensor Networks using 6G Technology;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09

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