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dc.contributor.authorCasari, Paolo 
dc.contributor.authorCampagnaro, Filippo
dc.contributor.authorDubrovinskaya, Elizaveta 
dc.contributor.authorFrancescon, Roberto
dc.contributor.authorDagan, Amir
dc.contributor.authorDahan, Shlomo
dc.contributor.authorZorzi, Michele
dc.contributor.authorDiamant, Roee
dc.date.accessioned2021-07-13T09:45:18Z
dc.date.available2021-07-13T09:45:18Z
dc.date.issued2020-03-18
dc.identifier.issn0364-9059
dc.identifier.urihttp://hdl.handle.net/20.500.12761/880
dc.description.abstractIn this article, we report the details of ASUNA, a freely shared data set for underwater network emulation. ASUNA tackles the time-consuming and costly logistics of multiple underwater networking sea trials by providing a benchmark database of time-varying network topologies recorded across multiple sea experiments, thus facilitating experiment replay and network emulation. The ASUNA database currently includes 20 diverse, time-varying topology structures, multimodal communication technologies, and different link quality measurements. With the aim of becoming a standard benchmark, ASUNA is open to extensions as new data become available from the underwater communications community. We provide the details of ASUNA's structure, the list of recorded topologies, as well as examples of how to use the database as part of an emulation system to test the performance of two scheduling protocols. We freely share the database and the emulation code, both through a web server and via the Code Ocean repository.
dc.publisherIEEE
dc.titleASUNA: A Topology Data Set for Underwater Network Emulation
dc.typejournal article
dc.journal.titleIEEE Journal of Oceanic Engineering
dc.identifier.doihttps://doi.org/10.1109/JOE.2020.2968104
dc.page.final12
dc.page.initial1
dc.subject.keywordProtocols
dc.subject.keywordEmulation
dc.subject.keywordNumerical models
dc.subject.keywordSea measurements
dc.subject.keywordNetwork topology
dc.subject.keywordHidden Markov models
dc.subject.keywordDatabases
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/2219


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