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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

2

Strana od-do

231-232

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Singapore

Datum konání akce

6. 12. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000383012400058