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dc.contributor.authorPetillo, Stephanie Marie
dc.contributor.authorSchmidt, Henrik
dc.contributor.authorBalasuriya, Arjuna Prabhath
dc.date.accessioned2012-07-24T19:52:26Z
dc.date.available2012-07-24T19:52:26Z
dc.date.issued2012-01
dc.date.submitted2011-08
dc.identifier.issn1550-1329
dc.identifier.issn1550-1477
dc.identifier.urihttp://hdl.handle.net/1721.1/71790
dc.description.abstractIn 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.en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Researchen_US
dc.description.sponsorshipUnited States. Dept. of Defenseen_US
dc.description.sponsorshipNational Defense Science and Engineering Graduate Fellowshipen_US
dc.description.sponsorshipUnited States. Office of Naval Researchen_US
dc.description.sponsorshipNaval Undersea Warfare Center (U.S.). Newporten_US
dc.language.isoen_US
dc.publisherHindawi Publishing Corporationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1155/2012/191235en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceHindawien_US
dc.titleConstructing a Distributed AUV Network for Underwater Plume-Tracking Operationsen_US
dc.typeArticleen_US
dc.identifier.citationPetillo, 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.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.approverSchmidt, Henrik
dc.contributor.mitauthorPetillo, Stephanie Marie
dc.contributor.mitauthorSchmidt, Henrik
dc.contributor.mitauthorBalasuriya, Arjuna Prabhath
dc.relation.journalInternational Journal of Distributed Sensor Networksen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsPetillo, Stephanie; Schmidt, Henrik; Balasuriya, Arjunaen
dc.identifier.orcidhttps://orcid.org/0000-0002-2883-7027
dc.identifier.orcidhttps://orcid.org/0000-0003-3422-8700
mit.licensePUBLISHER_CCen_US


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