Including Artificial Intelligence in a Routing Protocol Using Software Defined Networks

被引：0
|
作者：
Sendra, Sandra [1 ,2 ]
Rego, Albert [2 ]
Lloret, Jaime [2 ]
Miguel Jimenez, Jose [2 ]
Romero, Oscar [2 ]
机构：
[1] Univ Granada, Dept Signal Theory, Telemat & Commun Dept TSTC, Granada, Spain
[2] Univ Politecn Valencia, Valencia, Spain
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) | 2017年
关键词：
software defined networks (SDNs); artificial intelligence; intelligent routing; reinforcement-learning; routing;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Software defined network (SDN) is one of the most interesting research topic that is currently being investigated. The inclusion of artificial intelligence (AI) can improve the performance of routing protocols. Nowadays the application of AI over routing protocols is only applied to real devices, especially in wireless sensor nodes. In this paper, we present a new proposal to implement an intelligent routing protocol in a SDN topology. The intelligent routing protocol is based on the reinforcement learning process that allows choosing the best data transmission paths according to the best criteria and based on the network status.
引用
收藏
页码：670 / 674
页数：5
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