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