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A Survey of Intelligent Information Processing in Wireless Sensor Network

  • Conference paper
Mobile Ad-hoc and Sensor Networks (MSN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3794))

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Abstract

The main goal of wireless sensor networks is to collect information from the target environment through a large number of micro sensor nodes. However, the constrained resource on each senor node brings great challenges to the information processing procedure in sensor networks. An overview and some open issues of the intelligent information processing approaches in wireless sensor networks are given in this paper to meet these challenges, which include in-network data aggregation and data compression algorithms, distributed database storage and query strategies, and multi-sensor data fusion rules. The advantages and disadvantages of every approach are also discussed.

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Author information

Authors and Affiliations

  1. National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China

    Xiaohua Dai, Feng Xia, Zhi Wang & Youxian Sun

Authors
  1. Xiaohua Dai
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  2. Feng Xia
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  3. Zhi Wang
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  4. Youxian Sun
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong,  

    Xiaohua Jia

  2. College of Optoelectric and Electric Information Engineering, University of Shanghai for Science and Technology, 200093, Shanghai, P.R. China

    Jie Wu

  3. School of Computer, Wuhan University, 430072, Wuhan, China

    Yanxiang He

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© 2005 Springer-Verlag Berlin Heidelberg

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Dai, X., Xia, F., Wang, Z., Sun, Y. (2005). A Survey of Intelligent Information Processing in Wireless Sensor Network. In: Jia, X., Wu, J., He, Y. (eds) Mobile Ad-hoc and Sensor Networks. MSN 2005. Lecture Notes in Computer Science, vol 3794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599463_13

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  • DOI: https://doi.org/10.1007/11599463_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30856-0

  • Online ISBN: 978-3-540-32276-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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