Fuzzy Decision Based Energy-Evolutionary System for Sustainable Transport in Ubiquitous Fog Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253185" target="_blank" >RIV/61989100:27240/23:10253185 - isvavai.cz</a>
Result on the web
<a href="http://hcisj.com/data/file/article/2023070005/13-34.pdf?ckattempt=1" target="_blank" >http://hcisj.com/data/file/article/2023070005/13-34.pdf?ckattempt=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22967/HCIS.2023.13.034" target="_blank" >10.22967/HCIS.2023.13.034</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Decision Based Energy-Evolutionary System for Sustainable Transport in Ubiquitous Fog Network
Original language description
These days, the usage of sustainable transport applications has been growing in practice and has minimized global environmental issues as fuel vehicles did. Sustainable transport applications are distributed and can access data from anywhere in the network. However, due to sustainable electrical transport, much digital data is offloaded to the server to obtain the electricity stations. Therefore, many factors challenge sustainable vehicle applications, such as battery power consumption, service searching cost, execution delay, and execution accuracy. Thus, the existing decision support methods, such as TOPSIS multi-criteria decision method (MCDM), only support the fixed and accurate. Therefore, the fuzzy-based strategy will be more optimal for sustainable transport. The study devises the fuzzy-based energy-efficient decision support system (FBEES), which minimizes energy consumption, delay, and cost and increases scheduling accuracy for sustainable applications. These vehicles are connecting to the ubiquitous fog servers at different data centers in the system and offload their data for their processing. Simulation results show that FBEES minimizes energy by 30%, cost by 29%, delay by 31%, and improves accuracy compared to existing methods for sustainable transport applications. (C) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Human-centric Computing and Information Sciences
ISSN
2192-1962
e-ISSN
2192-1962
Volume of the periodical
13
Issue of the periodical within the volume
2023
Country of publishing house
KR - KOREA, REPUBLIC OF
Number of pages
16
Pages from-to
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UT code for WoS article
001093214300001
EID of the result in the Scopus database
2-s2.0-85168553061