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A layered approach to in situ data management on a wireless sensor network.

Roadknight, C. and Parrott, L. and Boyd, N. and Marshall, I. W. (2004) A layered approach to in situ data management on a wireless sensor network. In: Proc. ISSNIP : Intelligent Sensors, Sensor Networks and Information Processing, 2004-12-142004-12-17.

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    Abstract

    A multi-layered algorithm is proposed that provides a scalable and adaptive method for handling data on a wireless sensor network. Statistical tests, local feedback and global genetic style material exchange ensure limited resources, such as battery and bandwidth, are used efficiently by manipulating data at the source and important features in the time series are not lost when compression needs to be made. The approach leads to a more 'hands off' implementation which is demonstrated by a real world oceanographic deployment of the system.

    Item Type: Conference or Workshop Item (Paper)
    Journal or Publication Title: Proc. ISSNIP : Intelligent Sensors, Sensor Networks and Information Processing
    Additional Information: ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
    Uncontrolled Keywords: bandwidth resources battery resources data compression global genetic style material exchange in situ data management local feedback multi-layered algorithm oceanographic deployment statistical tests time series wireless sensor network
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    Faculty of Science and Technology > Lancaster Environment Centre
    ID Code: 27280
    Deposited By: Mrs Yaling Zhang
    Deposited On: 14 Oct 2009 15:13
    Refereed?: Yes
    Published?: Published
    Last Modified: 27 Jul 2012 02:04
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/27280

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