Declarative query interfaces for Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to data collection, but may track object movement, e.g., wildlife observation or traffic monitoring. While relational approaches are well suited for data collection, research on Moving Object Databases (MOD) has shown that relational operators are unsuitable to express queries on object movement, i.e., spatio-temporal semantics. The properties of SN prevent a straightforward application of MOD, e.g., node failures, limited accuracy etc. Furthermore, MOD model entities like regions as point sets which presumes very accurate knowledge on the spatial extend of these entities. Such knowledge is unavailable in most SN. This dissertation is the first to address spatio-temporal queries in SN. It defines a complete set of spatio-temporal operators for SN while taking into account their properties and systematically shows how to derive query results from object detections. Finally, the dissertation presents a distributed, energy-efficient query processor for spatio-temporal queries in SN.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Declarative query interfaces for Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to data collection, but may track object movement, e.g., wildlife observation or traffic monitoring. While relational approaches are well suited for data collection, research on Moving Object Databases (MOD) has shown that relational operators are unsuitable to express queries on object movement, i.e., spatio-temporal semantics. The properties of SN prevent a straightforward application of MOD, e.g., node failures, limited accuracy etc. Furthermore, MOD model entities like regions as point sets which presumes very accurate knowledge on the spatial extend of these entities. Such knowledge is unavailable in most SN. This dissertation is the first to address spatio-temporal queries in SN. It defines a complete set of spatio-temporal operators for SN while taking into account their properties and systematically shows how to derive query results from object detections. Finally, the dissertation presents a distributed, energy-efficient query processor for spatio-temporal queries in SN. 240 pp. Englisch. N° de réf. du vendeur 9783838125145
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bestehorn MarkusMarkus Bestehorn studied computer science in Chemnitz andKarlsruhe. He received his computer science diploma in 2006 andjoined the Karlsruhe Institute of Technology (KIT) which awardedhim a doctoral degree in January . N° de réf. du vendeur 5406853
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Evaluation of Spatio-Temporal Queries in Sensor Networks | Processing Spatio-Temporal Queries Based on Object Detections by Sensor Nodes | Markus Bestehorn | Taschenbuch | 240 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838125145 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106899617
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Declarative query interfaces for Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to data collection, but may track object movement, e.g., wildlife observation or traffic monitoring. While relational approaches are well suited for data collection, research on Moving Object Databases (MOD) has shown that relational operators are unsuitable to express queries on object movement, i.e., spatio-temporal semantics. The properties of SN prevent a straightforward application of MOD, e.g., node failures, limited accuracy etc. Furthermore, MOD model entities like regions as point sets which presumes very accurate knowledge on the spatial extend of these entities. Such knowledge is unavailable in most SN. This dissertation is the first to address spatio-temporal queries in SN. It defines a complete set of spatio-temporal operators for SN while taking into account their properties and systematically shows how to derive query results from object detections. Finally, the dissertation presents a distributed, energy-efficient query processor for spatio-temporal queries in SN.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 240 pp. Englisch. N° de réf. du vendeur 9783838125145
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Declarative query interfaces for Sensor Networks (SN) have become a commodity. These interfaces allow access to SN deployed for collecting data using relational queries. However, SN are not confined to data collection, but may track object movement, e.g., wildlife observation or traffic monitoring. While relational approaches are well suited for data collection, research on Moving Object Databases (MOD) has shown that relational operators are unsuitable to express queries on object movement, i.e., spatio-temporal semantics. The properties of SN prevent a straightforward application of MOD, e.g., node failures, limited accuracy etc. Furthermore, MOD model entities like regions as point sets which presumes very accurate knowledge on the spatial extend of these entities. Such knowledge is unavailable in most SN. This dissertation is the first to address spatio-temporal queries in SN. It defines a complete set of spatio-temporal operators for SN while taking into account their properties and systematically shows how to derive query results from object detections. Finally, the dissertation presents a distributed, energy-efficient query processor for spatio-temporal queries in SN. N° de réf. du vendeur 9783838125145
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