Environmental WSN Edge Computing Concept by Wavelet Transform Data Compression in a Sensor Node

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244253" target="_blank" >RIV/61989100:27240/19:10244253 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2405896319325911" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2405896319325911</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2019.12.646" target="_blank" >10.1016/j.ifacol.2019.12.646</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Environmental WSN Edge Computing Concept by Wavelet Transform Data Compression in a Sensor Node

Popis výsledku v původním jazyce

A data compression approach using the Wavelet transform represents one of possible edge computing solutions. The main advantage of presented approach is a reduction of transmitted data amount which leads to lower energy demands of wireless transmission in wireless sensor networks (WSN). Acquired environmental data are compressed in a microcontroler implemented as central computational unit in an environmental sensor node and then they are transfered by a communication interface. In this article the Wavelet transform is applied with using four types of mother wavelets - Haar wavelet, Meyer wavelet, Symlet wavelet and Biorthogonal wavelet. In experimental section a dataset with temperature and CO2 concentration parameters was used for testing of the proposed solution. The conclusion of the paper presents summary of suitable Wavelet transform configurations applicable in edge commuting WSN scenarios. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Název v anglickém jazyce

Environmental WSN Edge Computing Concept by Wavelet Transform Data Compression in a Sensor Node

Popis výsledku anglicky

A data compression approach using the Wavelet transform represents one of possible edge computing solutions. The main advantage of presented approach is a reduction of transmitted data amount which leads to lower energy demands of wireless transmission in wireless sensor networks (WSN). Acquired environmental data are compressed in a microcontroler implemented as central computational unit in an environmental sensor node and then they are transfered by a communication interface. In this article the Wavelet transform is applied with using four types of mother wavelets - Haar wavelet, Meyer wavelet, Symlet wavelet and Biorthogonal wavelet. In experimental section a dataset with temperature and CO2 concentration parameters was used for testing of the proposed solution. The conclusion of the paper presents summary of suitable Wavelet transform configurations applicable in edge commuting WSN scenarios. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Centrum výzkumu pokročilých mechatronických systémů</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

IFAC-PapersOnLine. Volume 52, Issue 27

ISBN

—

ISSN

2405-8963

e-ISSN

—

Počet stran výsledku

6

Strana od-do

246-251

Název nakladatele

Elsevier

Místo vydání

Amsterdam

Místo konání akce

Vysoké Tatry

Datum konání akce

29. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000507495200042