A machine-learning based time constrained resource allocation scheme for vehicular fog computing

Through integrating advanced communication and data processing technologies into smart vehicles and roadside infrastructures, the Intelligent Transportation System (ITS) has evolved as a promising paradigm for improving safety, efficiency of the transportation system. However, the strict delay requi...

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Veröffentlicht in:	China communications 2019-11, Vol.16 (11), p.29-41
Hauptverfasser:	Chen, Xiaosha, Leng, Supeng, Zhang, Ke, Xiong, Kai
Format:	Artikel
Sprache:	eng
Schlagworte:	deep reinforcement learning Delays Edge computing information-centric networking intelligent transport system perception-reaction time resource allocation Resource management Roads Safety Servers Task analysis vehicular fog
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