Scalable and efficient pattern recognition classifier for WSN

Nomica Imran, Asad I. Khan

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

    Abstract

    We present a light-weight event classification scheme, called Identifier based Graph Neuron (IGN). This scheme is based on highly distributed associative memory. The local state of an event is recognize through locally assigned identifiers. These nodes run an iterative algorithm to coordinate with other nodes to reach a consensus about the global state of the event. The proposed approach not only conserves the power resources of sensor nodes but is also effectively scalable to large scale WSNs.

    Original languageEnglish
    Title of host publicationMobile and Ubiquitous Systems: Computing, Networking, and Services
    Subtitle of host publication7th International ICST Conference, MobiQuitous 2010 Sydney, Australia, December 6-9, 2010, Revised Selected Papers
    EditorsPatrick Sénac, Max Ott, Aruna Seneviratne
    Place of PublicationHeidelberg, Berlin
    PublisherSpringer
    Pages303-304
    Number of pages2
    ISBN (Electronic)9783642291548
    ISBN (Print)9783642291531
    DOIs
    Publication statusPublished - 2012
    EventInternational Conference on Mobile and Ubiquitous Systems: Networks and Services 2010 - Sydney, Australia
    Duration: 6 Dec 20109 Dec 2010
    Conference number: 7th
    https://link.springer.com/book/10.1007/978-3-642-29154-8

    Publication series

    NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
    PublisherSpringer
    Volume73 LNICST
    ISSN (Print)1867-8211
    ISSN (Electronic)1867-822X

    Conference

    ConferenceInternational Conference on Mobile and Ubiquitous Systems: Networks and Services 2010
    Abbreviated titleMobiQuitous 2010
    CountryAustralia
    CitySydney
    Period6/12/109/12/10
    Internet address

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