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Query Optimization in Sensor Networks

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  • First Online:
Encyclopedia of Database Systems

  • 31 Accesses

Synonyms

In-network aggregation; Query optimization; Query processing

Definition

Query optimization is the process of producing a query evaluation plan (QEP) for a query that minimizes or maximizes certain objective functions. A query in a sensor network has additional clauses that specify the life time of a query, the frequency in which the sensor data should be monitored, and even the rate in which query answers should be returned. As such, the query plan must reflect these. In addition, a typical query plan comprises two main components: a communication component that sets up the communication structure for data delivery and a computation component that performs the operation in the sensor network and/or the root node. Because sensor nodes are low-powered, besides minimizing computation cost, optimization criterion includes minimizing energy consumption (e.g., by minimizing transmission cost) or maximizing the life span of the entire sensor network. As such, the cost model must...

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Author information

Authors and Affiliations

  1. Department of Computer Science, National University of Singapore, 3 Science Drive 2, 117543, Singapore, Singapore

    Kian-Lee Tan

Authors
  1. Kian-Lee Tan
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Corresponding author

Correspondence to Kian-Lee Tan .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. School of Computer Science, University of Oklahoma, 110 W. Boyd Street, Room 150 DEH, 73019-5143, Norman, OK, USA

    Le Gruenwald

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Tan, KL. (2017). Query Optimization in Sensor Networks. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_294-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_294-2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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