Differential Evolution Optimized Fuzzy Controller for Wireless Sensor Network Energy Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86100120" target="_blank" >RIV/61989100:27240/16:86100120 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2016.7737708" target="_blank" >http://dx.doi.org/10.1109/FUZZ-IEEE.2016.7737708</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2016.7737708" target="_blank" >10.1109/FUZZ-IEEE.2016.7737708</a>
Alternative languages
Result language
angličtina
Original language name
Differential Evolution Optimized Fuzzy Controller for Wireless Sensor Network Energy Management
Original language description
Differential evolution was used to optimize a fuzzy energy controller for a wireless sensor node. The evolved controller was validated by simulating a small wireless sensor network. The optimization goal was to best utilize the solar energy available for harvest while preserving a backup energy reserve. Performing the highest number of operations possible while leaving the energy reserve untouched increases deployment time and reliability. The controller being optimized was a Takagi-Sugeno fuzzy controller with inputs for the state of the energy buffer and a forecast of current day solar energy available for harvest. Two types of forecasts were used: one ideal and another based on atmospheric pressure measurements. Compared to a human-created reference controller, the evolved controller collected 124.96% of the measurements across the network, while only consuming 1.07% of the energy reserve capacity using a perfect forecast with similar results using the pressure-based forecast, representing an improvement in possible network deployment duration.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016; Vancouver; Canada; 24 July 2016 through 29 July 2016
ISBN
978-1-5090-0625-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
352-358
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000392150700049