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Differential evolution of fuzzy controller for environmentally-powered wireless sensors

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099942" target="_blank" >RIV/61989100:27240/16:86099942 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1016/j.asoc.2016.06.040" target="_blank" >http://dx.doi.org/10.1016/j.asoc.2016.06.040</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.asoc.2016.06.040" target="_blank" >10.1016/j.asoc.2016.06.040</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Differential evolution of fuzzy controller for environmentally-powered wireless sensors

  • Popis výsledku v původním jazyce

    Environmentally-powered wireless sensors use ambient energy from their environment to support their own energy needs. As such, they must operate without significant maintenance or user supervision. Due to the stochastic availability of ambient energy, its harvesting, storage and consumption must be managed by an efficient and robust controller that maintains data collection and transmission rates at desired levels, while maximizing the useful operational time of the system. To accomplish this task, the control system must observe the state of charge of an internal energy storage device, and consider the amount of energy available for harvest in the future. At the same time, the complexity of the controller must be limited so that it can be implemented on the simple embedded system of the sensor hardware. This paper presents a comprehensive synthesis of desired behavior of such controllers, and describes procedures for their design and optimization through an evolutionary fuzzy approach. The main contribution is the formalization of design objectives and development of the fitness function that drives the optimization process. Additional contributions include a comprehensive evaluation of several soft computing optimization approaches, thorough analysis of the optimized controller, its comparison to baseline control strategies, and validation of its operation with real energy availability forecasts.

  • Název v anglickém jazyce

    Differential evolution of fuzzy controller for environmentally-powered wireless sensors

  • Popis výsledku anglicky

    Environmentally-powered wireless sensors use ambient energy from their environment to support their own energy needs. As such, they must operate without significant maintenance or user supervision. Due to the stochastic availability of ambient energy, its harvesting, storage and consumption must be managed by an efficient and robust controller that maintains data collection and transmission rates at desired levels, while maximizing the useful operational time of the system. To accomplish this task, the control system must observe the state of charge of an internal energy storage device, and consider the amount of energy available for harvest in the future. At the same time, the complexity of the controller must be limited so that it can be implemented on the simple embedded system of the sensor hardware. This paper presents a comprehensive synthesis of desired behavior of such controllers, and describes procedures for their design and optimization through an evolutionary fuzzy approach. The main contribution is the formalization of design objectives and development of the fitness function that drives the optimization process. Additional contributions include a comprehensive evaluation of several soft computing optimization approaches, thorough analysis of the optimized controller, its comparison to baseline control strategies, and validation of its operation with real energy availability forecasts.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    JB - Senzory, čidla, měření a regulace

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Applied Soft Computing

  • ISSN

    1568-4946

  • e-ISSN

  • Svazek periodika

    48

  • Číslo periodika v rámci svazku

    November

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    14

  • Strana od-do

    193-206

  • Kód UT WoS článku

    000389549400016

  • EID výsledku v databázi Scopus

    2-s2.0-84978906192