ISBN:
9781728102535
Inhalt:
Autonomous underwater vehicles (AUV) are used in multiple domains for inspection, tracking and monitoring tasks. During such missions, a vehicle needs to process several kinds of data. Especially tasks that involve more than one vehicle generate multiple spatio-temporal data streams. In this paper we present a database extension for managing spatio-temporal data streams on AUVs. This extension provides a datatype for describing time-dependent geometries in multiple dimensions like trajectories of underwater vehicles. It provides a capabilities for executing continuous queries on streams. Three types of window operators are integrated in order to transform a stream into a conventional database table. An execution plan allows building a tree of several linked operators. Removing outdated data is supported.
In:
IEEE OES Autonomous Underwater Vehicle Symposium (2018 : Porto, Portugal), 2018 IEEE OES Autonomous Underwater Vehicle, [Piscataway, NJ] : IEEE, 2018, (2018), Seite 8729817, 9781728102535
In:
year:2018
In:
pages:8729817
Sprache:
Englisch
DOI:
10.1109/AUV.2018.8729817
URL:
https://doi.org/10.1109/AUV.2018.8729817
Mehr zum Autor:
Brinkhoff, Thomas 1964-
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