DocumentCode
2144789
Title
Integration of Heterogeneous Sensor Nodes by Data Stream Management
Author
Daum, Michael ; Fischer, Martin ; Kiefer, Mario ; Meyer-Wegener, Klaus
Author_Institution
Dept. of Comput. Sci., Univ. of Erlangen-Nuremberg, Erlangen
fYear
2009
fDate
18-20 May 2009
Firstpage
525
Lastpage
530
Abstract
In this paper, we present DSAM, a data stream application manager. DSAM supports the deployment of global queries to distributed and heterogeneous sensor nodes and stream processing systems (SPSs). We provide a graph-based global query language DSAM-AQL. The abstract query language (AQL) is a declarative streamoriented query language that abstracts from topology and distribution of wireless sensor networks (WSNs) and the heterogeneity of their nodes. Query processing and distribution is supported by a central catalog that manages all stream schemas, nodes, (initial) topology, SPSs, queries, performance characteristics of both network connections and nodes, and expressiveness of nodes´ supported query languages and query definitions. DSAM supports query partitioning, query mapping, deployment, and monitoring of distributed data stream applications. We focus on DSAM´s infrastructure and the procedures of deployment of global queries.
Keywords
computer network management; graph theory; query languages; query processing; telecommunication computing; telecommunication network topology; wireless sensor networks; abstract query language; data stream management; graph-based global query language; heterogeneous sensor nodes; network topology; query mapping; query processing; wireless sensor networks; Capacitive sensors; Conference management; Database languages; Filters; Network topology; Prototypes; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks; Integration; Query Partitioning; Stream Processing; WSN;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4244-4153-2
Electronic_ISBN
978-0-7695-3650-7
Type
conf
DOI
10.1109/MDM.2009.92
Filename
5088998
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