Internet of things-based wireless communication system for smart ocean monitoring systems

Abstract The IoT technology has evolved at such a high pace, and we are now able to make smart monitoring systems in inaccessible areas like in the ocean using the same connected devices. Based on the requirements of environmental protection, the marine ecosystems require continuous monitoring in regard to climate analysis, predictions of disasters, and management of the marine resources. The traditional ocean monitoring techniquesa do actually imply the deployment of ships and satellites, but they definitely do not match with the possibilities of tracking long distances and delivering the information within a limited amount of time. Based on these concerns, the paper shall suggest an Internet of Things wireless system with regards to smart ocean monitoring. Based on the proposed system, sensors underwater, wireless communication, edge computation, and cloud platforms are integrated as far as monitoring the marine environment in real-time is concerned. It is just a system design that consists of the different layers—sensor layer, communication layer, edge processing layer, and cloud intelligence layer—that are put in a stacking format on top of each other. Based on the requirements of the research, mathematical models are developed on sensor data collection, underwater signal movement, the amount of energy consumed by the network, communication delay, and reliability of the network. In addition, it is proposed that an intelligent ocean data collection algorithm can be capable of making the data transmission more efficient and reducing the communication overhead as such. Besides, the results of the simulation are that the proposed architecture improves additional network throughput, ratio of packet delivery, and energy saving as compared to the conventional underwater monitoring systems themselves. Basically, this platform offers the same scalable and reliable configuration that next-generation smart ocean monitoring applications need.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-19
DOI
https://doi.org/10.1038/s41598-026-60101-z
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Internet of things-based wireless communication system for smart ocean monitoring systems

G. Arul Dalton, A. Bamila Virgin Louis, C. Rajendra Thilahar, P. Muthuvel
Scientific Reports
Maritime Navigation and Safety
article

Internet of things-based wireless communication system for smart ocean monitoring systems

G. Arul Dalton, A. Bamila Virgin Louis, C. Rajendra Thilahar, P. Muthuvel
article en

Abstract

Abstract The IoT technology has evolved at such a high pace, and we are now able to make smart monitoring systems in inaccessible areas like in the ocean using the same connected devices. Based on the requirements of environmental protection, the marine ecosystems require continuous monitoring in regard to climate analysis, predictions of disasters, and management of the marine resources. The traditional ocean monitoring techniquesa do actually imply the deployment of ships and satellites, but they definitely do not match with the possibilities of tracking long distances and delivering the information within a limited amount of time. Based on these concerns, the paper shall suggest an Internet of Things wireless system with regards to smart ocean monitoring. Based on the proposed system, sensors underwater, wireless communication, edge computation, and cloud platforms are integrated as far as monitoring the marine environment in real-time is concerned. It is just a system design that consists of the different layers—sensor layer, communication layer, edge processing layer, and cloud intelligence layer—that are put in a stacking format on top of each other. Based on the requirements of the research, mathematical models are developed on sensor data collection, underwater signal movement, the amount of energy consumed by the network, communication delay, and reliability of the network. In addition, it is proposed that an intelligent ocean data collection algorithm can be capable of making the data transmission more efficient and reducing the communication overhead as such. Besides, the results of the simulation are that the proposed architecture improves additional network throughput, ratio of packet delivery, and energy saving as compared to the conventional underwater monitoring systems themselves. Basically, this platform offers the same scalable and reliable configuration that next-generation smart ocean monitoring applications need.

Scientific Reports
Saveetha University (IN), St Xavier’s College (IN)
Openalex Percentile: Top 14%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Internet of things-based wireless communication system for smart ocean monitoring systems — G. Arul Dalton, A. Bamila Virgin Louis, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS