Fuzzy power management for environmental monitoring systems in tropical regions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092134" target="_blank" >RIV/61989100:27240/14:86092134 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/14:00430491
Result on the web
<a href="http://dx.doi.org/10.1109/IJCNN.2014.6889844" target="_blank" >http://dx.doi.org/10.1109/IJCNN.2014.6889844</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IJCNN.2014.6889844" target="_blank" >10.1109/IJCNN.2014.6889844</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy power management for environmental monitoring systems in tropical regions
Original language description
Remote environmental monitoring systems require effective energy management to allow reliable long-term operation without frequent maintenance to replace or recharge batteries. To design and analyze relevant energy management strategies, we have developed Simulink-based models of a recently constructed monitoring device to evaluate its potential performance. The model uses long-term solar energy data from two locations, Chamela, Mexico, and Fairview, Canada, to estimate the energy harvesting capabilities of the device. Using the simulator, we have developed and evaluated a fuzzy energy management strategy that determines how the device should operate to match the solar energy profile in each location. Solar energy in Chamela, Mexico is abundant and consistent so an energy harvesting remote monitoring device could have a high activity level without risking device failure. Fairview, Canada, has limited solar resources in the winter but plenty in the summer; a device dependent upon this e
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Joint Conference on Neural Networks
ISBN
978-1-4799-1484-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
1719-1726
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Beijing
Event date
Jul 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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