期刊
PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD)
卷 -, 期 -, 页码 106-113出版社
IEEE
DOI: 10.1109/CLOUD.2018.00021
关键词
connected vehicles; edge computing; V2C; V2I; data delivery; service delivery; bandwidth cost
资金
- NSF/Intel grant [CNS-1505799]
- ONR [N00014-16-1-2195]
- Global Research Laboratory Program through NRF [2013K1A1A2A02078326]
- DGIST Research and Development Program (CPS Global Center) - Ministry of Science, ICT & Future Planning
The paradigm of connected vehicles is fast gaining lot of attraction in the automotive industry. Recently, a lot of technological innovation has been pushed through to realize this paradigm using vehicle to cloud (V2C), infrastructure (V2I) and vehicle (V2V) communications. This has also opened the doors for efficient delivery of data/service to the vehicles via edge devices that are closer to the vehicles. In this work, we propose an optimization framework that can be used to deliver data/service to the connected vehicles such that a bandwidth cost objective is optimized. For the first time, we also integrate a vehicle flow model in the optimization framework to model the traffic flow in the coverage area of the edges. Using the optimization framework, we study the variation of the optimal bandwidth cost for varying problem sizes and vehicle flow model parameter values for both data and service delivery.
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