An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning

To address the challenges of obtaining network state information, flexibly forwarding data, and improving the communication quality of service (QoS) in wireless network transmission environments in response to dynamic changes in network topology, this paper introduces an intelligent routing algorith...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.83322-83342
Hauptverfasser:	Li, Jinqiang, Ye, Miao, Huang, Linqiang, Deng, Xiaofang, Qiu, Hongbing, Wang, Yong, Jiang, Qiuxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Communications traffic Computer architecture Convergence Data models Deep learning Deep reinforcement learning gradient clipping Heuristic algorithms Importance sampling intelligent routing Machine learning network situational awareness Network topologies Optimization Optimization methods Prediction algorithms Predictive models Quality of service architectures Routing Situational awareness software-defined wireless networking Source code Traffic information Wireless networks
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