QQ客服 官方微博 反馈留言

	RCAR: A Reinforcement-Learning-Based Routing Protocol for Congestion-Avoided Underwater Acoustic Sensor Networks
	Zhigang Jin; Qinyi Zhao; Yishan Su
刊名	IEEE Sensors Journal
	2019
卷号	Vol.19 No.22页码:10881-10891
关键词	Routing protocols Routing Delays Sensors Reinforcement learning Energy consumption Underwater acoustic sensor networks routing protocol congestion avoidance
ISSN号	1530-437X;1558-1748
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2887504
专题	天津大学
作者单位	Department of Information and Communication Engineering, Tianjin University, Tianjin, China Department of Information and Communication Engineering, Tianjin University, Tianjin, China Department of Information and Communication Engineering, Tianjin University, Tianjin, China
推荐引用方式 GB/T 7714	Zhigang Jin,Qinyi Zhao,Yishan Su. RCAR: A Reinforcement-Learning-Based Routing Protocol for Congestion-Avoided Underwater Acoustic Sensor Networks[J]. IEEE Sensors Journal,2019,Vol.19 No.22:10881-10891.
APA	Zhigang Jin,Qinyi Zhao,&Yishan Su.(2019).RCAR: A Reinforcement-Learning-Based Routing Protocol for Congestion-Avoided Underwater Acoustic Sensor Networks.IEEE Sensors Journal,Vol.19 No.22,10881-10891.
MLA	Zhigang Jin,et al."RCAR: A Reinforcement-Learning-Based Routing Protocol for Congestion-Avoided Underwater Acoustic Sensor Networks".IEEE Sensors Journal Vol.19 No.22(2019):10881-10891.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。