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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. (en)
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 (en)
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 (en)
skos:notation
  • RIV/61989100:27240/14:86092656!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 18800
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/14:86092656
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • differential evolution; energy harvesting; wireless sensor networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CC1D1C202847]
http://linked.open...v/mistoKonaniAkce
  • Singapur
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • 2014 11th Annual IEEE International Conference on Sensing, Communication, and Networking Workshops, SECON Workshops 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Krömer, Pavel
  • Musílek, Petr
  • Prauzek, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Institute of Electrical and Electronics Engineers
https://schema.org/isbn
  • 978-1-4799-5674-6
http://localhost/t...ganizacniJednotka
  • 27240
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