Collaborative Vehicular Edge Computing towards Greener ITS
In order to achieve a greener intelligent transport system (ITS), an efficient collaboration between vehicles is required to manage computation task processing with low latency. In this paper, we propose a collaborative edge computing scheme for vehicular Internet-of-things towards a greener ITS. Th...
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| Veröffentlicht in: | IEEE access 2020-01, Vol.8, p.1-1 |
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| creator | Buda, Su Guleng, Siri Wu, Celimuge Zhang, Jiefang Yau, Kok-Lim Alvin Ji, Yusheng |
| description | In order to achieve a greener intelligent transport system (ITS), an efficient collaboration between vehicles is required to manage computation task processing with low latency. In this paper, we propose a collaborative edge computing scheme for vehicular Internet-of-things towards a greener ITS. The proposed scheme uses some vehicles as edge nodes, which are responsible for finding task processor nodes on behalf of a task requester node by considering the end-to-end task response time. The proposed scheme employs a two-stage approach where the first stage enables an efficient networking and computing architecture by forming vehicle clusters based on the edge architecture, and the second stage optimizes offloading tasks based on the architecture. We use realistic computer simulations to compare the proposed scheme with existing baselines, and show its superiority in terms of task offloading performance. |
| doi_str_mv | 10.1109/ACCESS.2020.2985731 |
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| subjects | Collaboration Collaborative intelligence Computation offloading Delays Edge computing Green ITS Green products Intelligent transportation systems Microprocessors Network latency Nodes Quality of service Response time Task analysis Time factors Vehicles Vehicular Internet of Things |
| title | Collaborative Vehicular Edge Computing towards Greener ITS |
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