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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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ISSN
2405-8963
e-ISSN
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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