Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method

Greedy routing efficiently achieves routing solutions for vehicular networks due to its simplicity and reliability. However, the existing greedy routing algorithms have mainly considered simple routing metrics only, e.g., distance based on the local view of an individual vehicle. This consideration...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2023-12, Vol.24 (12), p.14022-14036
Hauptverfasser:	Li, Zhuhui, Zhao, Liang, Min, Geyong, Al-Dubai, Ahmed Y., Hawbani, Ammar, Zomaya, Albert Y., Luo, Chunbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computational modeling Computer architecture Data models Decision analysis deep learning graph convolutional networks Greedy algorithms Machine learning Relays Reliability Routing Software-defined networking Software-defined vehicular networks Training Vehicles vehicular ad-hoc networks
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