Approximating sensor network queries using in-network summaries
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs and maintains a spanning tree within the network, rooted at the basestation. The tree maintains compressed summary informat...
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| Veröffentlicht in: | 2009 International Conference on Information Processing in Sensor Networks S. 229 - 240 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
Washington, DC, USA
IEEE Computer Society
13.04.2009
IEEE |
| Schriftenreihe: | ACM Conferences |
| Schlagworte: |
Information systems
> Data management systems
> Database management system engines
> Database query processing
Information systems
> Data management systems
> Database management system engines
> Parallel and distributed DBMSs
|
| ISBN: | 1424451086, 9781424451081 |
| Online-Zugang: | Volltext |
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| Abstract | In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs and maintains a spanning tree within the network, rooted at the basestation. The tree maintains compressed summary information for each link that is used to “stub out” traversal during query processing. Our work is based on a formal model of the in-network tree construction task framed as an optimization problem.We demonstrate hardness results for that problem, and develop efficient approximation algorithms for subtasks that are too expensive to compute exactly. We also propose efficient heuristics to accommodate a wider set of workloads, and empirically evaluate their performance and sensitivity to model changes. |
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| AbstractList | In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensor nets. We use a model-based approach that constructs and maintains a spanning tree within the network, rooted at the base station. The tree maintains compressed summary information for each link that is used to ldquostub outrdquo traversal during query processing. Our work is based on a formal model of the in-network tree construction task framed as an optimization problem.We demonstrate hardness results for that problem, and develop efficient approximation algorithms for subtasks that are too expensive to compute exactly. We also propose efficient heuristics to accommodate a wider set of workloads, and empirically evaluate their performance and sensitivity to model changes. In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs and maintains a spanning tree within the network, rooted at the basestation. The tree maintains compressed summary information for each link that is used to “stub out” traversal during query processing. Our work is based on a formal model of the in-network tree construction task framed as an optimization problem.We demonstrate hardness results for that problem, and develop efficient approximation algorithms for subtasks that are too expensive to compute exactly. We also propose efficient heuristics to accommodate a wider set of workloads, and empirically evaluate their performance and sensitivity to model changes. |
| Author | Guestrin, Carlos Hellerstein, Joseph M. Meliou, Alexandra |
| Author_xml | – sequence: 1 givenname: Alexandra surname: Meliou fullname: Meliou, Alexandra organization: EECS Department, UC Berkeley, USA – sequence: 2 givenname: Carlos surname: Guestrin fullname: Guestrin, Carlos organization: SCS, Carnegie Mellon University, USA – sequence: 3 givenname: Joseph M. surname: Hellerstein fullname: Hellerstein, Joseph M. organization: EECS Department, UC Berkeley, USA |
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| PublicationTitle | 2009 International Conference on Information Processing in Sensor Networks |
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| Snippet | In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based... In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensor nets. We use a model-based... |
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| SubjectTerms | Algorithm design and analysis Approximation algorithms Computer systems organization -- Architectures -- Distributed architectures Data Compression Hardware -- Communication hardware, interfaces and storage Information systems -- Data management systems -- Database management system engines -- Database query processing Information systems -- Data management systems -- Database management system engines -- Parallel and distributed DBMSs Information systems -- Information retrieval -- Evaluation of retrieval results Information systems -- Information retrieval -- Information retrieval query processing Mathematics Mathematics of computing -- Mathematical analysis -- Functional analysis -- Approximation Networks Permission Predictive models Query Approximation Query processing Routing Sensor Networks Sensor phenomena and characterization Temperature sensors Theory of computation -- Design and analysis of algorithms -- Approximation algorithms analysis Theory of computation -- Theory and algorithms for application domains -- Database theory -- Database query processing and optimization (theory) Wireless sensor networks |
| Title | Approximating sensor network queries using in-network summaries |
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