Fuzzy algorithm for intelligent wireless sensors with solar harvesting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86093266" target="_blank" >RIV/61989100:27240/14:86093266 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/INTELES.2014.7008978" target="_blank" >http://dx.doi.org/10.1109/INTELES.2014.7008978</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INTELES.2014.7008978" target="_blank" >10.1109/INTELES.2014.7008978</a>

Result language
angličtina
Original language name
Fuzzy algorithm for intelligent wireless sensors with solar harvesting
Original language description
Wireless sensors are sophisticated embedded systems designed for collecting data on systems or processes of interest. In many cases, they are expected to operate in inaccessible locations, without user supervision. As a result, such monitoring systems need to operate autonomously and independently of external sources of energy. To achieve long-lived sustainability, monitoring systems often rely on energy extracted from the environment, e.g. through solar harvesting. Their design is a challenging problem with several conflicting goals and a number of design and implementation possibilities. For obvious reasons, these devices must be designed in an energy efficient way. As a result, they usually have low computational performance and cannot implement complicated control algorithms. At the same time, due to the requirements for autonomy and dependability, they must be endowed with certain degree of adaptability and fault tolerance-properties typically found in intelligent systems. In this contribution, we describe the design flow of an intelligent embedded control system for management of energy use in wireless monitoring systems. The paper also provides a simulation-based analysis of the control system performance.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - IES 2014: 2014 IEEE Symposium on Intelligent Embedded Systems, Proceedings
ISBN
978-1-4799-4486-6
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
New York
Event location
Orlando
Event date
Dec 9, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000363908600001

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