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A Performance Analysis of Edge Computing Compression Methods for Environmental Monitoring Nodes with LoRaWAN Communications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10250217" target="_blank" >RIV/61989100:27240/22:10250217 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2405896322003792" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896322003792</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ifacol.2022.06.064" target="_blank" >10.1016/j.ifacol.2022.06.064</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Performance Analysis of Edge Computing Compression Methods for Environmental Monitoring Nodes with LoRaWAN Communications

  • Original language description

    Data compression methods applied with wavelet transforms, redundant point removal, or neural networks are potential edge computing solutions whose main advantages are minimization of the amount of data transmitted in wireless sensor networks and the reduction of energy requirements and consumption. Implemented as central computational unit, the microcontroller used in such systems compresses the data, specifically temperature data, acquired from environmental monitoring. The proposed compression methods can achieve up to 93% data compression at a mean squared error value of approximately 0.1. The method was designed to satisfy the requirements of the LoRaWAN protocol and the size of the data payload.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IFAC PapersOnLine. Volume 55

  • ISBN

  • ISSN

    2405-8963

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    387-392

  • Publisher name

    Elsevier

  • Place of publication

    Amsterdam

  • Event location

    Sarajevo

  • Event date

    May 17, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000836195400023