Simulation of adaptive duty cycling in solar powered environmental monitoring systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092117" target="_blank" >RIV/61989100:27240/14:86092117 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CCECE.2014.6901008" target="_blank" >http://dx.doi.org/10.1109/CCECE.2014.6901008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CCECE.2014.6901008" target="_blank" >10.1109/CCECE.2014.6901008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Simulation of adaptive duty cycling in solar powered environmental monitoring systems

Popis výsledku v původním jazyce

This paper discusses a simulator for energy management in wireless sensor platforms. The simulator presently focuses on environmentally powered monitoring systems and sensors described within this document. The Mathworks Simulink environment was used toconstruct the simulator and allows real meteorological data to be used for long term simulated operation under different energy management strategies. Three of these strategies are tested and presented here; one is dynamically controlled by a fuzzy rulebased system which allows it to adapt to the environmental energy profile, while the other two are statically controlled for comparison. The static control strategies seek to minimize energy related failures or to maximize the number of stored measurements disregarding failures. Ultimately, the strategy which allows the simulated sensor platform to adapt its operational level to the energy available in the environment is superior. It produces a data set with the highest number of data po

Název v anglickém jazyce

Simulation of adaptive duty cycling in solar powered environmental monitoring systems

Popis výsledku anglicky

This paper discusses a simulator for energy management in wireless sensor platforms. The simulator presently focuses on environmentally powered monitoring systems and sensors described within this document. The Mathworks Simulink environment was used toconstruct the simulator and allows real meteorological data to be used for long term simulated operation under different energy management strategies. Three of these strategies are tested and presented here; one is dynamically controlled by a fuzzy rulebased system which allows it to adapt to the environmental energy profile, while the other two are statically controlled for comparison. The static control strategies seek to minimize energy related failures or to maximize the number of stored measurements disregarding failures. Ultimately, the strategy which allows the simulated sensor platform to adapt its operational level to the energy available in the environment is superior. It produces a data set with the highest number of data po

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Canadian Conference on Electrical and Computer Engineering 2014

ISBN

978-1-4799-3099-9

ISSN

0840-7789

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE

Místo vydání

Vienna

Místo konání akce

Toronto

Datum konání akce

4. 5. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000361017900098