Toward Large-Scale Autonomous Marine Pollution Monitoring Article Swipe
Huber Flores
,
Naser Hossein Motlagh
,
Agustin Zuniga
,
Mohan Liyanage
,
Monica Passananti
,
Sasu Tarkoma
,
Moustafa Youssef
,
Petteri Nurmi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/iotm.0011.2000057
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1109/iotm.0011.2000057
Marine pollution is a growing worldwide concern, affecting the health of marine ecosystems, human health, and weather patterns. To reduce underwater pollution, it is critical to have access to accurate information about the extent of marine pollutants as otherwise appropriate countermeasures and cleaning measures cannot be chosen. Currently such information is difficult to acquire as existing monitoring solutions are highly laborious or costly, limited to specific pollutants, and have limited spatial and temporal resolution. In this article, we present a research vision of large-scale autonomous marine pollution monitoring that uses coordinated groups of autonomous underwater vehicles (AUV)s to monitor the extent and characteristics of marine pollutants. We highlight key requirements and reference technologies to establish a research roadmap for realizing this vision. We also address the feasibility of our vision, carrying out controlled experiments that address classification of pollutants and collaborative underwater processing, two key research challenges for our vision.
Related Topics
Concepts
Underwater
Pollutant
Pollution
Environmental science
Scale (ratio)
Key (lock)
Marine pollution
Environmental resource management
Human health
Marine ecosystem
Computer science
Environmental monitoring
Risk analysis (engineering)
Environmental planning
Ecosystem
Business
Geography
Environmental engineering
Ecology
Computer security
Cartography
Biology
Environmental health
Archaeology
Medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/iotm.0011.2000057
- OA Status
- green
- Cited By
- 24
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3111881943
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3111881943Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/iotm.0011.2000057Digital Object Identifier
- Title
-
Toward Large-Scale Autonomous Marine Pollution MonitoringWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-03-01Full publication date if available
- Authors
-
Huber Flores, Naser Hossein Motlagh, Agustin Zuniga, Mohan Liyanage, Monica Passananti, Sasu Tarkoma, Moustafa Youssef, Petteri NurmiList of authors in order
- Landing page
-
https://doi.org/10.1109/iotm.0011.2000057Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/10138/329148Direct OA link when available
- Concepts
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Underwater, Pollutant, Pollution, Environmental science, Scale (ratio), Key (lock), Marine pollution, Environmental resource management, Human health, Marine ecosystem, Computer science, Environmental monitoring, Risk analysis (engineering), Environmental planning, Ecosystem, Business, Geography, Environmental engineering, Ecology, Computer security, Cartography, Biology, Environmental health, Archaeology, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
24Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 7, 2023: 6, 2022: 8, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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