Edge Computing Architecture for the Management of Underwater Cultural Heritage
Underwater cultural heritage (UCH) is a valuable resource that preserves humanity’s historical legacy, offering insights into traditions and civilisations. Despite its significance, UCH faces threats from inadequate regulatory frameworks, insufficient conservation technologies, and climate-induced e...
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Format: | Article |
Language: | English |
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MDPI AG
2024-12-01
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Series: | Journal of Marine Science and Engineering |
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Online Access: | https://www.mdpi.com/2077-1312/12/12/2250 |
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author | Jorge Herrera-Santos Marta Plaza-Hernández Sebastián López-Florez Vladimir Djapic Javier Prieto Tejedor Emilio Santiago Corchado-Rodríguez |
author_facet | Jorge Herrera-Santos Marta Plaza-Hernández Sebastián López-Florez Vladimir Djapic Javier Prieto Tejedor Emilio Santiago Corchado-Rodríguez |
author_sort | Jorge Herrera-Santos |
collection | DOAJ |
description | Underwater cultural heritage (UCH) is a valuable resource that preserves humanity’s historical legacy, offering insights into traditions and civilisations. Despite its significance, UCH faces threats from inadequate regulatory frameworks, insufficient conservation technologies, and climate-induced environmental changes. This paper proposes an innovative platform combining the internet of underwater things and edge computing technologies to enhance UCH’s real-time monitoring, localisation, and management. The platform processes data through a central unit installed on a buoy near heritage sites, enabling efficient data analysis and decision making without relying on cloud connectivity. Integrating acoustic communication systems, LoRa technology, and nonterrestrial networks supports a robust multilayered communication infrastructure for continuous operation, even in remote maritime areas. The platform’s edge node deploys artificial intelligence models for real-time risk assessment, focusing on key environmental parameters to predict and mitigate corrosion rates and climate-related threats. A case study illustrates the system’s capabilities in underwater localisation, demonstrating how edge computing and acoustic triangulation techniques enable precise tracking. |
format | Article |
id | doaj-art-a87cc35e7d404a33a92e95db6ce3e812 |
institution | Kabale University |
issn | 2077-1312 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Marine Science and Engineering |
spelling | doaj-art-a87cc35e7d404a33a92e95db6ce3e8122024-12-27T14:33:23ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-12-011212225010.3390/jmse12122250Edge Computing Architecture for the Management of Underwater Cultural HeritageJorge Herrera-Santos0Marta Plaza-Hernández1Sebastián López-Florez2Vladimir Djapic3Javier Prieto Tejedor4Emilio Santiago Corchado-Rodríguez5BISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, SpainBISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, SpainBISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, SpainH2O Robotics Ltd., Unska 3, 10000 Zagreb, CroatiaBISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, SpainBISITE Research Group, Edificio Multiusos I+D+i, University of Salamanca, 37007 Salamanca, SpainUnderwater cultural heritage (UCH) is a valuable resource that preserves humanity’s historical legacy, offering insights into traditions and civilisations. Despite its significance, UCH faces threats from inadequate regulatory frameworks, insufficient conservation technologies, and climate-induced environmental changes. This paper proposes an innovative platform combining the internet of underwater things and edge computing technologies to enhance UCH’s real-time monitoring, localisation, and management. The platform processes data through a central unit installed on a buoy near heritage sites, enabling efficient data analysis and decision making without relying on cloud connectivity. Integrating acoustic communication systems, LoRa technology, and nonterrestrial networks supports a robust multilayered communication infrastructure for continuous operation, even in remote maritime areas. The platform’s edge node deploys artificial intelligence models for real-time risk assessment, focusing on key environmental parameters to predict and mitigate corrosion rates and climate-related threats. A case study illustrates the system’s capabilities in underwater localisation, demonstrating how edge computing and acoustic triangulation techniques enable precise tracking.https://www.mdpi.com/2077-1312/12/12/2250underwater cultural heritageedge computinginternet of underwater thingsunderwater locationgenerative AI |
spellingShingle | Jorge Herrera-Santos Marta Plaza-Hernández Sebastián López-Florez Vladimir Djapic Javier Prieto Tejedor Emilio Santiago Corchado-Rodríguez Edge Computing Architecture for the Management of Underwater Cultural Heritage Journal of Marine Science and Engineering underwater cultural heritage edge computing internet of underwater things underwater location generative AI |
title | Edge Computing Architecture for the Management of Underwater Cultural Heritage |
title_full | Edge Computing Architecture for the Management of Underwater Cultural Heritage |
title_fullStr | Edge Computing Architecture for the Management of Underwater Cultural Heritage |
title_full_unstemmed | Edge Computing Architecture for the Management of Underwater Cultural Heritage |
title_short | Edge Computing Architecture for the Management of Underwater Cultural Heritage |
title_sort | edge computing architecture for the management of underwater cultural heritage |
topic | underwater cultural heritage edge computing internet of underwater things underwater location generative AI |
url | https://www.mdpi.com/2077-1312/12/12/2250 |
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