QoS-enabled resource allocation algorithm in internet of vehicles with mobile edge computing

Along with the development of 5G technology in mobile sensing and wireless communication, the internet of vehicles (IoV) has drawn much attention from the research community. The traditional centralised cloud-based IoV network has become a bottleneck in providing computation-intensive, high-mobility...

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Veröffentlicht in:	IET communications Jg. 14; H. 14; S. 2326 - 2333
Hauptverfasser:	Wang, Ge, Xu, Fangmin, Zhao, Chenglin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 25.08.2020
Schlagworte:	5G mobile communication account different delay tolerances cloud computing different task types hierarchical IoV system high‐mobility Internet learning (artificial intelligence) low‐latency services MEC mobile edge computing mobile sensing probability promising computing paradigm QoS‐enabled resource allocation algorithm quality of service Research Article resource allocation service‐enabled resource allocation traditional centralised cloud‐based IoV network wireless communication 5G mobile communication probability traditional centralised cloud-based IoV network low-latency services MEC quality of service hierarchical IoV system promising computing paradigm wireless communication account different delay tolerances QoS-enabled resource allocation algorithm resource allocation service-enabled resource allocation mobile sensing high-mobility mobile edge computing Internet learning (artificial intelligence) cloud computing different task types
ISSN:	1751-8628, 1751-8636
Online-Zugang:	Volltext
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