Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles
Internet of Vehicles (IoV) is the evolution of vehicular ad-hoc networks and intelligent transportation systems focused on reaping the benefits of data generated by various sensors within these networks. The IoV is further empowered by a centralized cloud and distributed fog-based infrastructure. Th...
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8488344/ |
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| author | Razi Iqbal Talal Ashraf Butt M. Omair Shafiq Manar Wasif Abu Talib Tariq Umar |
| author_facet | Razi Iqbal Talal Ashraf Butt M. Omair Shafiq Manar Wasif Abu Talib Tariq Umar |
| author_sort | Razi Iqbal |
| collection | DOAJ |
| description | Internet of Vehicles (IoV) is the evolution of vehicular ad-hoc networks and intelligent transportation systems focused on reaping the benefits of data generated by various sensors within these networks. The IoV is further empowered by a centralized cloud and distributed fog-based infrastructure. The myriad amounts of data generated by the vehicles and the environment have the potential to enable diverse services. These services can benefit from both variety and velocity of the generated data. This paper focuses on the data at the edge nodes to enable fog-based services that can be consumed by various IoV safety and non-safety applications. This paper emphasizes the challenges involved in offering the context-aware services in an IoV environment. In order to overcome these challenges, this paper proposes a data analytics framework for fog infrastructures at the fog layer of traditional IoV architecture that offers context-aware real time, near real-time and batch services at the edge of a network. Finally, the appropriateness of the proposed framework is verified through different use cases in the IoV environment. |
| format | Article |
| id | doaj-art-449e7c27a8b64f8b875d1b553579a71c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-449e7c27a8b64f8b875d1b553579a71c2025-08-22T23:09:26ZengIEEEIEEE Access2169-35362018-01-016581825819410.1109/ACCESS.2018.28745928488344Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of VehiclesRazi Iqbal0https://orcid.org/0000-0003-0513-3665Talal Ashraf Butt1M. Omair Shafiq2Manar Wasif Abu Talib3Tariq Umar4College of Computer Information Technology, American University in the Emirates, Dubai, United Arab EmiratesCollege of Computer Information Technology, American University in the Emirates, Dubai, United Arab EmiratesCarleton School of Information Technology, Carleton University, Ottawa, ON, CanadaDepartment of Computer Science, University of Sharjah, Sharjah, United Arab EmiratesDepartment of Computer Science, COMSATS Institute of Information Technology, Islamabad, PakistanInternet of Vehicles (IoV) is the evolution of vehicular ad-hoc networks and intelligent transportation systems focused on reaping the benefits of data generated by various sensors within these networks. The IoV is further empowered by a centralized cloud and distributed fog-based infrastructure. The myriad amounts of data generated by the vehicles and the environment have the potential to enable diverse services. These services can benefit from both variety and velocity of the generated data. This paper focuses on the data at the edge nodes to enable fog-based services that can be consumed by various IoV safety and non-safety applications. This paper emphasizes the challenges involved in offering the context-aware services in an IoV environment. In order to overcome these challenges, this paper proposes a data analytics framework for fog infrastructures at the fog layer of traditional IoV architecture that offers context-aware real time, near real-time and batch services at the edge of a network. Finally, the appropriateness of the proposed framework is verified through different use cases in the IoV environment.https://ieeexplore.ieee.org/document/8488344/Context-aware computingdata driven intelligencefog computingInternet of Vehicles |
| spellingShingle | Razi Iqbal Talal Ashraf Butt M. Omair Shafiq Manar Wasif Abu Talib Tariq Umar Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles IEEE Access Context-aware computing data driven intelligence fog computing Internet of Vehicles |
| title | Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles |
| title_full | Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles |
| title_fullStr | Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles |
| title_full_unstemmed | Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles |
| title_short | Context-Aware Data-Driven Intelligent Framework for Fog Infrastructures in Internet of Vehicles |
| title_sort | context aware data driven intelligent framework for fog infrastructures in internet of vehicles |
| topic | Context-aware computing data driven intelligence fog computing Internet of Vehicles |
| url | https://ieeexplore.ieee.org/document/8488344/ |
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