Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect
As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechani...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2023-03-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2023.00320 |
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| _version_ | 1850212424322383872 |
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| author | Kai JIANG Yue CAO Huan ZHOU Xuefeng REN Yongdong ZHU Hai LIN |
| author_facet | Kai JIANG Yue CAO Huan ZHOU Xuefeng REN Yongdong ZHU Hai LIN |
| author_sort | Kai JIANG |
| collection | DOAJ |
| description | As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed. |
| format | Article |
| id | doaj-art-e5e5f7d69fcb4248bb68ead74274bae3 |
| institution | OA Journals |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2023-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-e5e5f7d69fcb4248bb68ead74274bae32025-08-20T02:09:21ZzhoChina InfoCom Media Group物联网学报2096-37502023-03-017374859579207Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospectKai JIANGYue CAOHuan ZHOUXuefeng RENYongdong ZHUHai LINAs an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2023.00320artificial intelligence;Internet of vehicles;edge intelligence |
| spellingShingle | Kai JIANG Yue CAO Huan ZHOU Xuefeng REN Yongdong ZHU Hai LIN Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect 物联网学报 artificial intelligence;Internet of vehicles;edge intelligence |
| title | Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect |
| title_full | Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect |
| title_fullStr | Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect |
| title_full_unstemmed | Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect |
| title_short | Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect |
| title_sort | edge intelligence empowered internet of vehicles concept framework issues implementation and prospect |
| topic | artificial intelligence;Internet of vehicles;edge intelligence |
| url | http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2023.00320 |
| work_keys_str_mv | AT kaijiang edgeintelligenceempoweredinternetofvehiclesconceptframeworkissuesimplementationandprospect AT yuecao edgeintelligenceempoweredinternetofvehiclesconceptframeworkissuesimplementationandprospect AT huanzhou edgeintelligenceempoweredinternetofvehiclesconceptframeworkissuesimplementationandprospect AT xuefengren edgeintelligenceempoweredinternetofvehiclesconceptframeworkissuesimplementationandprospect AT yongdongzhu edgeintelligenceempoweredinternetofvehiclesconceptframeworkissuesimplementationandprospect AT hailin edgeintelligenceempoweredinternetofvehiclesconceptframeworkissuesimplementationandprospect |