Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations
In recent years, there has been significant concern about the impacts of offshore oil spill plumes and harmful algal blooms on the coastal ocean environment and biology, as well as on the human populations adjacent to these coastal regions. Thus, it has become increasingly important to determine the...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Hindawi Publishing Corporation
2012
|
| Online Access: | http://hdl.handle.net/1721.1/71790 https://orcid.org/0000-0002-2883-7027 https://orcid.org/0000-0003-3422-8700 |
| _version_ | 1826217759489392640 |
|---|---|
| author | Petillo, Stephanie Marie Schmidt, Henrik Balasuriya, Arjuna Prabhath |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Petillo, Stephanie Marie Schmidt, Henrik Balasuriya, Arjuna Prabhath |
| author_sort | Petillo, Stephanie Marie |
| collection | MIT |
| description | In recent years, there has been significant concern about the impacts of offshore oil spill plumes and harmful algal blooms on the coastal ocean environment and biology, as well as on the human populations adjacent to these coastal regions. Thus, it has become increasingly important to determine the 3D extent of these ocean features (“plumes”) and how they evolve over time. The ocean environment is largely inaccessible to sensing directly by humans, motivating the need for robots to intelligently sense the ocean for us. In this paper, we propose the use of an autonomous underwater vehicle (AUV) network to track and predict plume shape and motion, discussing solutions to the challenges of spatiotemporal data aliasing (coverage versus resolution), underwater communication, AUV autonomy, data fusion, and coordination of multiple AUVs. A plume simulation is also developed here as the first step toward implementing behaviors for autonomous, adaptive plume tracking with AUVs, modeling a plume as a sum of Fourier orders and examining the resulting errors. This is then extended to include plume forecasting based on time variations, and future improvements and implementation are discussed. |
| first_indexed | 2024-09-23T17:08:42Z |
| format | Article |
| id | mit-1721.1/71790 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T17:08:42Z |
| publishDate | 2012 |
| publisher | Hindawi Publishing Corporation |
| record_format | dspace |
| spelling | mit-1721.1/717902022-10-03T10:44:14Z Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations Petillo, Stephanie Marie Schmidt, Henrik Balasuriya, Arjuna Prabhath Massachusetts Institute of Technology. Department of Mechanical Engineering Schmidt, Henrik Petillo, Stephanie Marie Schmidt, Henrik Balasuriya, Arjuna Prabhath In recent years, there has been significant concern about the impacts of offshore oil spill plumes and harmful algal blooms on the coastal ocean environment and biology, as well as on the human populations adjacent to these coastal regions. Thus, it has become increasingly important to determine the 3D extent of these ocean features (“plumes”) and how they evolve over time. The ocean environment is largely inaccessible to sensing directly by humans, motivating the need for robots to intelligently sense the ocean for us. In this paper, we propose the use of an autonomous underwater vehicle (AUV) network to track and predict plume shape and motion, discussing solutions to the challenges of spatiotemporal data aliasing (coverage versus resolution), underwater communication, AUV autonomy, data fusion, and coordination of multiple AUVs. A plume simulation is also developed here as the first step toward implementing behaviors for autonomous, adaptive plume tracking with AUVs, modeling a plume as a sum of Fourier orders and examining the resulting errors. This is then extended to include plume forecasting based on time variations, and future improvements and implementation are discussed. United States. Air Force Office of Scientific Research United States. Dept. of Defense National Defense Science and Engineering Graduate Fellowship United States. Office of Naval Research Naval Undersea Warfare Center (U.S.). Newport 2012-07-24T19:52:26Z 2012-07-24T19:52:26Z 2012-01 2011-08 Article http://purl.org/eprint/type/JournalArticle 1550-1329 1550-1477 http://hdl.handle.net/1721.1/71790 Petillo, Stephanie, Henrik Schmidt, and Arjuna Balasuriya. “Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations.” International Journal of Distributed Sensor Networks 2012 (2012): 1–12. https://orcid.org/0000-0002-2883-7027 https://orcid.org/0000-0003-3422-8700 en_US http://dx.doi.org/10.1155/2012/191235 International Journal of Distributed Sensor Networks Creative Commons Attribution http://creativecommons.org/licenses/by/2.0 application/pdf Hindawi Publishing Corporation Hindawi |
| spellingShingle | Petillo, Stephanie Marie Schmidt, Henrik Balasuriya, Arjuna Prabhath Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations |
| title | Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations |
| title_full | Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations |
| title_fullStr | Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations |
| title_full_unstemmed | Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations |
| title_short | Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations |
| title_sort | constructing a distributed auv network for underwater plume tracking operations |
| url | http://hdl.handle.net/1721.1/71790 https://orcid.org/0000-0002-2883-7027 https://orcid.org/0000-0003-3422-8700 |
| work_keys_str_mv | AT petillostephaniemarie constructingadistributedauvnetworkforunderwaterplumetrackingoperations AT schmidthenrik constructingadistributedauvnetworkforunderwaterplumetrackingoperations AT balasuriyaarjunaprabhath constructingadistributedauvnetworkforunderwaterplumetrackingoperations |