| dc.contributor.author | Herrera Santos, Jorge | |
| dc.contributor.author | Plaza Hernández, Marta | |
| dc.contributor.author | López Flórez, Sebastián | |
| dc.contributor.author | Djapic, Vladimir | |
| dc.contributor.author | Prieto Tejedor, Javier | |
| dc.contributor.author | Corchado Rodríguez, Emilio Santiago | |
| dc.date.accessioned | 2025-06-20T09:07:00Z | |
| dc.date.available | 2025-06-20T09:07:00Z | |
| dc.date.issued | 2024-12-07 | |
| dc.identifier.citation | Herrera-Santos, J.; Plaza-Hernández, M.; López-Florez, S.; Djapic, V.; Prieto Tejedor, J.; Corchado-Rodríguez, E.S. Edge Computing Architecture for the Management of Underwater Cultural Heritage. J. Mar. Sci. Eng. 2024, 12, 2250. https://doi.org/10.3390/jmse12122250 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/10366/166196 | |
| dc.description.abstract | [EN]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. | es_ES |
| dc.description.sponsorship | European Union | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI. Multidisciplinary Digital Publishing Institute | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Underwater cultural heritage | es_ES |
| dc.subject | Edge computing | es_ES |
| dc.subject | Internet of underwater things | es_ES |
| dc.subject | Underwater location | es_ES |
| dc.subject | Generative AI | es_ES |
| dc.title | Edge Computing Architecture for the Management of Underwater Cultural Heritage | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publishversion | https://www.mdpi.com/2077-1312/12/12/2250 | es_ES |
| dc.subject.unesco | 1203.04 Inteligencia Artificial | es_ES |
| dc.identifier.doi | 10.3390/jmse12122250 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/873132/EU | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.identifier.essn | 2077-1312 | |
| dc.journal.title | Journal of Marine Science and Engineering | es_ES |
| dc.volume.number | 12 | es_ES |
| dc.issue.number | 12 | es_ES |
| dc.page.initial | 2250 | es_ES |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |