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An Energy Efficient Filtering Approach to In-Network Join Processing in Sensor Network Databases

  • Conference paper
Multimedia, Computer Graphics and Broadcasting (MulGraB 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 263))

Abstract

In processing join queries in a sensor network it is important to minimize communication cost, which is the main consumer of battery power, among sensor nodes. Shipping only relevant data involved in join result to the sensor nodes that is responsible for the final join means reduction in the size of data transmitted and hence lowers battery consumption. In this paper, we present algorithm SBJ which uses bloom filter and algorithm RFB which uses bit vector to filter unnecessary data during join processing in a sensor database. We compare our algorithms with the existing synopsis join (SNJ) algorithm in terms of the communication cost associated with processing BEJ (Binary Equi-Join) queries. The query performance results show that both the SBJ and the RFB algorithms outperform the SNJ algorithm. In addition, the RFB algorithm generally performs better than the SBJ algorithm.

This work was supported by 2010 Hongik University Research Fund.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Hongik University, Seoul, Korea

    Kyung-Chang Kim & Byung-Jung Oh

Authors
  1. Kyung-Chang Kim
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  2. Byung-Jung Oh
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Department of Computer and Information Science, University of Michigan – Dearborn, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Florida International University, EC 2910, 10555 W. Flagler Street, 33174, Miami, FL, USA

    Niki Pissinou

  5. National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, 106, Taipei City, Taiwan (R.O.C.)

    Timothy K. Shih

  6. Michigan State University, 48824-1226, East Lansing, MI, USA

    Edward J. Rothwell

  7. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  8. Dept of IT, Hansei University, 604-5, Dangjung-Dong, Gunpo-Si, Gyunggi-Do, Korea

    Seung-Jung Shin

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© 2011 Springer-Verlag Berlin Heidelberg

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Kim, KC., Oh, BJ. (2011). An Energy Efficient Filtering Approach to In-Network Join Processing in Sensor Network Databases. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27186-1_14

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  • DOI: https://doi.org/10.1007/978-3-642-27186-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27185-4

  • Online ISBN: 978-3-642-27186-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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