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UNDERSEA: An Exemplar for EngineeringSelf-Adaptive Unmanned Underwater Vehicles
University of York, UK.
University of York, UK.
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV).ORCID-id: 0000-0003-0098-9376
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM), Institutionen för datavetenskap (DV). KU Leuven, Belgium.ORCID-id: 0000-0002-1162-0817
2017 (engelsk)Inngår i: 2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), IEEE, 2017, s. 83-89Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Recent advances in embedded systems and underwater communications raised the autonomy levels in unmanned underwater vehicles (UUVs) from human-driven and scripted to adaptive and self-managing. UUVs can execute longer and more challenging missions, and include functionality that enables adaptation to unexpected oceanic or vehicle changes. As such, the simulated UUV exemplar UNDERSEA introduced in our paper facilitates the development, evaluation and comparison of self-adaptation solutions in a new and important application domain. UNDERSEA comes with predefined oceanic surveillance UUV missions, adaptation scenarios, and a reference controller implementation, all of which can easily be extended or replaced.

sted, utgiver, år, opplag, sider
IEEE, 2017. s. 83-89
HSV kategori
Forskningsprogram
Datavetenskap, Programvaruteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-74990DOI: 10.1109/SEAMS.2017.19Scopus ID: 2-s2.0-85027200841ISBN: 978-1-5386-1550-8 (digital)ISBN: 978-1-5386-1551-5 (tryckt)OAI: oai:DiVA.org:lnu-74990DiVA, id: diva2:1213276
Konferanse
2017 IEEE/ACM 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 22-23 May 2017, Buenos Aires, Argentina
Tilgjengelig fra: 2018-06-04 Laget: 2018-06-04 Sist oppdatert: 2019-08-29bibliografisk kontrollert

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