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E-BACH: Entropy-Based Clustering Hierarchy for Wireless Sensor Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100122" target="_blank" >RIV/61989100:27240/16:86100122 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/WI-IAT.2015.88" target="_blank" >http://dx.doi.org/10.1109/WI-IAT.2015.88</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/WI-IAT.2015.88" target="_blank" >10.1109/WI-IAT.2015.88</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    E-BACH: Entropy-Based Clustering Hierarchy for Wireless Sensor Networks

  • Original language description

    Environmental wireless sensor networks are usually composed of a large group of cooperating wireless sensor nodes spread over an area of interest. They often operate in remote locations and thus must be designed for energy-efficiency and reliability. At the same time, their deployment and operational characteristics must correspond to the spatial distribution of the phenomena of interest. There are a number of approaches that attempt to resolve this trade-off between energy consumption and quality of collected data. Most of them concentrate directly on energy efficiency and communication aspects of network operation. In this contribution, we propose a new method that uses data quality as the primary goal of network optimization. Based on the concept of data entropy, it develops a hierarchical heterogeneous network where individual nodes sample the measured quantities according to the potential information gain. This can be used to save energy by lowering sampling rates of nodes at location with low variability of monitored variables or high correlation with other nodes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2015 IEEE/WIC/ACM International conference on web intelligence and intelligent agent technology (WI-IAT) : vol. 3 : proceedings papers

  • ISBN

    978-1-4673-9618-9

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    231-232

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Singapore

  • Event date

    Dec 6, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000383012400058