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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F14%3A86092656%21RIV15-MSM-27240___
rdf:type
n6:Vysledek skos:Concept
dcterms:description
Environmental monitoring systems are expected to provide detailed data about their surroundings in a timely fashion. Frequent data sampling is desired to obtain data with high temporal resolution, and frequent wireless transmissions are needed in order to get the data to end users without unnecessary delays. Energy harvesting systems depend, to a large extent, on the energy available in the environment. They need sophisticated control approaches in order to consolidate these requirements with the need for autonomous operation and longevity of the system. This study proposes a novel approach for dynamic control of energy harvesting nodes. It uses fuzzy logic controller evolved by differential evolution. The evolved control system is evaluated in a series of computational experiments that show very promising results. Environmental monitoring systems are expected to provide detailed data about their surroundings in a timely fashion. Frequent data sampling is desired to obtain data with high temporal resolution, and frequent wireless transmissions are needed in order to get the data to end users without unnecessary delays. Energy harvesting systems depend, to a large extent, on the energy available in the environment. They need sophisticated control approaches in order to consolidate these requirements with the need for autonomous operation and longevity of the system. This study proposes a novel approach for dynamic control of energy harvesting nodes. It uses fuzzy logic controller evolved by differential evolution. The evolved control system is evaluated in a series of computational experiments that show very promising results.
dcterms:title
Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution
skos:prefLabel
Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution
skos:notation
RIV/61989100:27240/14:86092656!RIV15-MSM-27240___
n4:aktivita
n17:S
n4:aktivity
S
n4:dodaniDat
n12:2015
n4:domaciTvurceVysledku
n8:7524730 n8:9175970 n8:8367779
n4:druhVysledku
n20:D
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
18800
n4:idVysledku
RIV/61989100:27240/14:86092656
n4:jazykVysledku
n5:eng
n4:klicovaSlova
differential evolution; energy harvesting; wireless sensor networks
n4:klicoveSlovo
n11:energy%20harvesting n11:differential%20evolution n11:wireless%20sensor%20networks
n4:kontrolniKodProRIV
[CC1D1C202847]
n4:mistoKonaniAkce
Singapur
n4:mistoVydani
New York
n4:nazevZdroje
2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking Workshops, SECON Workshops 2014
n4:obor
n19:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n12:2014
n4:tvurceVysledku
Prauzek, Michal Musílek, Petr Krömer, Pavel
n4:typAkce
n14:WRD
n4:zahajeniAkce
2014-06-30+02:00
s:numberOfPages
6
n15:hasPublisher
Institute of Electrical and Electronics Engineers
n7:isbn
978-1-4799-5674-6
n3:organizacniJednotka
27240