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Fuzzy Controlled Wavelet-Based Edge Computing Method for Energy-Harvesting IoT Sensors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253434" target="_blank" >RIV/61989100:27240/23:10253434 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10174646" target="_blank" >https://ieeexplore.ieee.org/document/10174646</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/JIOT.2023.3292915" target="_blank" >10.1109/JIOT.2023.3292915</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Controlled Wavelet-Based Edge Computing Method for Energy-Harvesting IoT Sensors

  • Original language description

    The study presents a novel edge computing (EC) method based on a discrete wavelet transform (DWT) and fuzzy logic controller suitable for application with energy harvesting IoT sensors. The authors propose a new solution to address information latency in an IoT device when compressed data with high information density are transmitted to the cloud with high priority or detailed information is added to the cloud when the energy state in the IoT device is sufficient. The solution potentially delivers a completely lossless scenario for low-power sensors, a significant benefit that state-of-the-art methods do not provide. The article describes the hardware model for an IoT device, input and predicted energy data, and a methodology for designing the parameters of DWT and fuzzy logic controllers. The results of the study indicate that the proposed EC method achieved full data transmission in contrast to the reference solution which had the worst case parameters of maximum outage and penalties caused by delayed data. The average delay in uploading approximate data was 0.51 days with the proposed fuzzy controller EC method compared to reference methods, which have an average delay of at least 0.91 days. The results also highlighted the importance of the trade-off between information latency and reliable functionality. The results are discussed in terms of an innovative approach which features an IoT sensor that maximizes its own energy consumption according to the data measured ...

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

    <a href="/en/project/FW03010194" target="_blank" >FW03010194: Development of a System for Monitoring and Evaluation of Selected Risk Factors of Physical Workload in the Context of Industry 4.0.</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Internet of Things Journal

  • ISSN

    2327-4662

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    23

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    9

  • Pages from-to

    18909-18918

  • UT code for WoS article

    001098109800045

  • EID of the result in the Scopus database

    2-s2.0-85164439483