Street Smart in 5G: Vehicular Applications, Communication, and Computing
Recent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside units, and other road users can collaborate to deliver novel services and applications that leverage, for example, big...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9906062/ |
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| author | Ahmad Yousef Alhilal Benjamin Finley Tristan Braud Dongzhe Su Pan Hui |
| author_facet | Ahmad Yousef Alhilal Benjamin Finley Tristan Braud Dongzhe Su Pan Hui |
| author_sort | Ahmad Yousef Alhilal |
| collection | DOAJ |
| description | Recent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside units, and other road users can collaborate to deliver novel services and applications that leverage, for example, big vehicular data and machine learning. Relatedly, fifth-generation cellular networks (5G) are being developed and deployed for low-latency, high-reliability, and high bandwidth communications. While 5G adjacent technologies such as edge computing allow for data offloading and computation at the edge of the network thus ensuring even lower latency and context-awareness. Overall, these developments provide a rich ecosystem for the evolution of vehicular applications, communications, and computing. Therefore in this work, we aim at providing a comprehensive overview of the state of research on vehicular computing in the emerging age of 5G and big data. In particular, this paper highlights several vehicular applications, investigates their requirements, details the enabling communication technologies and computing paradigms, and studies data analytics pipelines and the integration of these enabling technologies in response to application requirements. |
| format | Article |
| id | doaj-art-ccb58c36d8b74af3ad0fbd216cf7e1dc |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-ccb58c36d8b74af3ad0fbd216cf7e1dc2024-12-11T00:02:45ZengIEEEIEEE Access2169-35362022-01-011010563110565610.1109/ACCESS.2022.32109859906062Street Smart in 5G: Vehicular Applications, Communication, and ComputingAhmad Yousef Alhilal0https://orcid.org/0000-0002-2575-1391Benjamin Finley1https://orcid.org/0000-0002-0217-9767Tristan Braud2https://orcid.org/0000-0002-9571-0544Dongzhe Su3Pan Hui4https://orcid.org/0000-0001-6026-1083Department of Computer Science Engineering, The Hong Kong University of Science and Technology, New Territories, Hong KongDepartment of Computer Science, University of Helsinki, Helsinki, FinlandDepartment of Computer Science Engineering, The Hong Kong University of Science and Technology, New Territories, Hong KongHong Kong Applied Science and Technology Research Institute (ASTRI), Sha Tin, Hong KongDepartment of Computer Science, University of Helsinki, Helsinki, FinlandRecent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside units, and other road users can collaborate to deliver novel services and applications that leverage, for example, big vehicular data and machine learning. Relatedly, fifth-generation cellular networks (5G) are being developed and deployed for low-latency, high-reliability, and high bandwidth communications. While 5G adjacent technologies such as edge computing allow for data offloading and computation at the edge of the network thus ensuring even lower latency and context-awareness. Overall, these developments provide a rich ecosystem for the evolution of vehicular applications, communications, and computing. Therefore in this work, we aim at providing a comprehensive overview of the state of research on vehicular computing in the emerging age of 5G and big data. In particular, this paper highlights several vehicular applications, investigates their requirements, details the enabling communication technologies and computing paradigms, and studies data analytics pipelines and the integration of these enabling technologies in response to application requirements.https://ieeexplore.ieee.org/document/9906062/Edge computingcloud computingintelligent transportation systembig data5Gdistributed computing |
| spellingShingle | Ahmad Yousef Alhilal Benjamin Finley Tristan Braud Dongzhe Su Pan Hui Street Smart in 5G: Vehicular Applications, Communication, and Computing IEEE Access Edge computing cloud computing intelligent transportation system big data 5G distributed computing |
| title | Street Smart in 5G: Vehicular Applications, Communication, and Computing |
| title_full | Street Smart in 5G: Vehicular Applications, Communication, and Computing |
| title_fullStr | Street Smart in 5G: Vehicular Applications, Communication, and Computing |
| title_full_unstemmed | Street Smart in 5G: Vehicular Applications, Communication, and Computing |
| title_short | Street Smart in 5G: Vehicular Applications, Communication, and Computing |
| title_sort | street smart in 5g vehicular applications communication and computing |
| topic | Edge computing cloud computing intelligent transportation system big data 5G distributed computing |
| url | https://ieeexplore.ieee.org/document/9906062/ |
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