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MARLIN: An IoT Sensor Network for Improving Maritime Situational Awareness

Flenker, Tino and Stoppe, Jannis (2021) MARLIN: An IoT Sensor Network for Improving Maritime Situational Awareness. In: MARESEC 2021. MARESEC 2021, 2021-06-14, Bremerhaven, Deutschland.

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Maritime situational awareness pictures are mostly collections of interfaces for particular sensors, showing a one-on-one relationship between sensors and their interface. The internet of things has broken with this pattern, using unified and open interfaces on sensors and services to instead create modular, interconnected networks to handle the recording, processing and interaction of and with data. The MARLIN project adapts these patterns to create a modern maritime situational awareness picture. This paper illustrates the structure and design decisions of this network, showing how modern web technologies can be used to rapidly create reliable and flexible situational awareness tools in the maritime domain.

Item URL in elib:https://elib.dlr.de/144804/
Document Type:Conference or Workshop Item (Speech)
Title:MARLIN: An IoT Sensor Network for Improving Maritime Situational Awareness
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stoppe, JannisUNSPECIFIEDhttps://orcid.org/0000-0003-2952-3422UNSPECIFIED
Date:June 2021
Journal or Publication Title:MARESEC 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:IoT, sensors, data analysis, visualisation, microservices, situational awareness
Event Title:MARESEC 2021
Event Location:Bremerhaven, Deutschland
Event Type:Workshop
Event Date:14 June 2021
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Bremerhaven
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures > Maritime Security Technologies
Deposited By: Flenker, Tino
Deposited On:23 Nov 2021 12:29
Last Modified:24 Apr 2024 20:44

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