Designing of an Underwater-Internet of Things (U-IoT) for Marine Life Monitoring

Sazzad, Asif; Nawer, Nazifa; Mahbub Rimi, Maisha; Habibul Kabir, K.; Foysal Haque, Khandaker

doi:10.1007/978-981-19-8032-9_21

Cited by 2 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Lack of a fault detection system: If a failure or underwater network configuration problem occurs, it is not detected before retrieving and aggregating network data. This process may easily lead to the complete loss of the monitoring mission [11].…”

mentioning

confidence: 99%

“…Lack of real-time monitoring: Recorded data are unavailable at the base station until collection and processing. This process may occur several hours after each sampling [11].…”

mentioning

confidence: 99%

“…• Impossibility of instantaneous system configuration: Interaction between coastal control systems and monitoring commands is impossible in real-time. This prevents the adaptive setting of orders, and it is impossible to configure the system after a specific event [6], [11].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Proposing a Dynamic Decision-Making Routing Method in Underwater Internet of Things

Tarif,

Nouri Moghadam

2023

Preprint

View full text Add to dashboard Cite

Oceans cover about 70% of the Earth's surface, and about 95% remain unexplored for various reasons. Underwater wireless communication has been revolutionised with the help of Internet of Things networks. Recently, applications such as collecting marine data, marine monitoring, disaster prevention, historical exploration, oil and gas exploration, shipwreck exploration, maritime security, and monitoring of aquatic species and water pollution, and several applications have become possible. However, the problem of routing, information transfer, and resource preservation in the fluid underwater environment remains unsolved. In this research, we were looking for a solution to make routing more efficient, considering the various and practical criteria for the quality of service of the underwater IoT network. One of the outstanding features of this research is the possibility of dynamically weighing the parameters involved in routing and taking optimal and distributed decisions between network components. The proposed method has achieved acceptable results in terms of quality of service compared to recent methods.

show abstract

mentioning

confidence: 99%

“…Lack of real-time monitoring: Recorded data are unavailable at the base station until collection and processing. This process may occur several hours after each sampling [11].…”

mentioning

confidence: 99%