articleIEEE Vehicular Technology MagazineApr 24, 2017Closed access

Mobile-Edge Computing for Vehicular Networks: A Promising Network Paradigm with Predictive Off-Loading

KZKe ZhangYMYuming MaoSLSupeng LengYHYejun HeKZKe Zhang

University of Electronic Science and Technology of China · Shenzhen University · +1 more institution

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Abstract

Cloud-based vehicular networks are a promising paradigm to improve vehicular services through distributing computation tasks between remote clouds and local vehicular terminals. To further reduce the latency and the transmission cost of the computation off-loading, we propose a cloud-based mobileedge computing (MEC) off-loading framework in vehicular networks. In this framework, we study the effectiveness of the computation transfer strategies with vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication modes. Considering the time consumption of the computation task execution and the mobility of the vehicles, we present an efficient predictive combination-mode relegation scheme, where the…

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Topics & keywords

Topics
Keywords
  • Computer science
  • Cloud computing
  • Server
  • Mobile edge computing
  • Computation
  • Edge computing
  • Computation offloading
  • Transmission (telecommunications)
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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