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Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues
Internet of Vehicles (IoV) technology has been attracting great interest from both academia and industry due to its huge potential impact on improving driving experiences and enabling better transportation systems. While a large number of interesting IoV applications are expected, it is more challen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503948/ https://www.ncbi.nlm.nih.gov/pubmed/36146341 http://dx.doi.org/10.3390/s22186995 |
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author | Danba, Sedeng Bao, Jingjing Han, Guorong Guleng, Siri Wu, Celimuge |
author_facet | Danba, Sedeng Bao, Jingjing Han, Guorong Guleng, Siri Wu, Celimuge |
author_sort | Danba, Sedeng |
collection | PubMed |
description | Internet of Vehicles (IoV) technology has been attracting great interest from both academia and industry due to its huge potential impact on improving driving experiences and enabling better transportation systems. While a large number of interesting IoV applications are expected, it is more challenging to design an efficient IoV system compared with conventional Internet of Things (IoT) applications due to the mobility of vehicles and complex road conditions. We discuss existing studies about enabling collaborative intelligence in IoV systems by focusing on collaborative communications, collaborative computing, and collaborative machine learning approaches. Based on comparison and discussion about the advantages and disadvantages of recent studies, we point out open research issues and future research directions. |
format | Online Article Text |
id | pubmed-9503948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95039482022-09-24 Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues Danba, Sedeng Bao, Jingjing Han, Guorong Guleng, Siri Wu, Celimuge Sensors (Basel) Article Internet of Vehicles (IoV) technology has been attracting great interest from both academia and industry due to its huge potential impact on improving driving experiences and enabling better transportation systems. While a large number of interesting IoV applications are expected, it is more challenging to design an efficient IoV system compared with conventional Internet of Things (IoT) applications due to the mobility of vehicles and complex road conditions. We discuss existing studies about enabling collaborative intelligence in IoV systems by focusing on collaborative communications, collaborative computing, and collaborative machine learning approaches. Based on comparison and discussion about the advantages and disadvantages of recent studies, we point out open research issues and future research directions. MDPI 2022-09-15 /pmc/articles/PMC9503948/ /pubmed/36146341 http://dx.doi.org/10.3390/s22186995 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Danba, Sedeng Bao, Jingjing Han, Guorong Guleng, Siri Wu, Celimuge Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues |
title | Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues |
title_full | Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues |
title_fullStr | Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues |
title_full_unstemmed | Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues |
title_short | Toward Collaborative Intelligence in IoV Systems: Recent Advances and Open Issues |
title_sort | toward collaborative intelligence in iov systems: recent advances and open issues |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503948/ https://www.ncbi.nlm.nih.gov/pubmed/36146341 http://dx.doi.org/10.3390/s22186995 |
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