Intelligent Routing Control for MANET Based on Reinforcement Learning

摘要：

　　With the rapid development and wide use of MANET,the quality of service for various businesses is much higher than before.Aiming at the adaptive routing control with multiple parameters for universal scenes,we propose an intelligent routing control algorithm for MANET based on reinforcement learning,which can constantly optimize the node selection strategy through the interaction with the environment and converge to the optimal transmission paths gradually.There is no need to update the network state frequently,which can save the cost of routing maintenance while improving the transmission performance.Simulation results show that,compared with other algorithms,the proposed approach can choose appropriate paths under constraint conditions,and can obtain better optimization objective.

作者: Fang Donga Ou Li Min Tong

作者单位: National Digital Switching System Engineering & Technology Research Centre,Zhengzhou 450000,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-6

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）