Energy Availability Forecasting for Harvesting-aware Wireless Sensor Networks: Analysis of Energy Demand of a Predictor Based on Evolutionary Fuzzy Rules

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096788" target="_blank" >RIV/61989100:27240/15:86096788 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/INCoS.2015.54" target="_blank" >http://dx.doi.org/10.1109/INCoS.2015.54</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2015.54" target="_blank" >10.1109/INCoS.2015.54</a>

Result language
angličtina
Original language name
Energy Availability Forecasting for Harvesting-aware Wireless Sensor Networks: Analysis of Energy Demand of a Predictor Based on Evolutionary Fuzzy Rules
Original language description
Environmental monitoring sensor networks often operate in remote locations and thus must be designed for energy-efficiency and reliability. The first goal of energy efficiency can be achieved through low-power design of the monitoring hardware, often supplemented by energy management schemes of varying complexity and sophistication. In case of sensor nodes endowed with energy-harvesting capabilities, the energy management systems can take advantage of harvesting outlook that can take the form of prediction of energy available for harvest in the near future. When designing such sophisticated prediction and management schemes, it is important to consider the energy cost of gathering the predictor data and executing the forecasting algorithm. This contribution describes the results of experiments designed to assess the energy required to run a recently introduced energy-availability forecasting algorithm based on evolutionary fuzzy rules. In particular, it presents an analysis of experime
Czech name
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Czech description
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Intelligent Networking and Collaborative Systems INCoS-2015 : 7th International Conference : proceedings : September 2-4, 2015, Taipei, Tchaj-wan
ISBN
978-1-4673-7694-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
200-203
Publisher name
IEEE
Place of publication
Danvers
Event location
Taipei
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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