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QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks

文献类型：期刊论文

作者Liu, Jianmin1,2; Wang, Qi1; He, ChenTao1,2; Jaffres-Runser, Katia3; Xu, Yida1,2; Li, Zhenyu1; Xu, YongJun1
刊名COMPUTER COMMUNICATIONS
出版日期2020-01-15
卷号150页码:304-316
关键词Multi-objective routing FANETs Q-learning Adaptive parameters
ISSN号0140-3664
DOI10.1016/j.comcom.2019.11.011
英文摘要A network with reliable and rapid communication is critical for Unmanned Aerial Vehicles (UAVs). Flying Ad Hoc Networks (FANETs) consisting of UAVs is a new paradigm of wireless communication. However, the highly dynamic topology of FANETs and limited energy of UAVs have brought great challenges to the routing design of FANETs. It is difficult for existing routing protocols for Mobile Ad Hoc Networks (MANETs) and Vehicular Ad Hoc Networks (VANETs) to adapt the high dynamics of FANETs. Moreover, few of existing routing protocols simultaneously meet the requirement of low delay and low energy consumption of FANETs. This paper proposes a novel Q-learning based Multi-objective optimization Routing protocol for FANETs to provide low-delay and low-energy service guarantees. Most of existing Q-learning based protocols use a fixed value for the Q-learning parameters. In contrast, Q-learning parameters can be adaptively adjusted in the proposed protocol to adapt to the high dynamics of FANETs. In addition, a new exploration and exploitation mechanism is also proposed to explore some undiscovered potential optimal routing path while exploiting the acquired knowledge. Instead of using past neighbor relationships, the proposed method re-estimates neighbor relationships in the routing decision process to select the more reliable next hop. Simulation results show that the proposed method can provide higher packet arrival ratio, lower delay and energy consumption than existing good performing Q-learning based routing method.
资助项目National Natural Science Foundation of China (NSFC)[61602447]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000514749000029
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/14437]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, Qi
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Univ Toulouse, IRIT ENSEEIHT, F-31061 Toulouse, France
推荐引用方式
GB/T 7714		 Liu, Jianmin,Wang, Qi,He, ChenTao,et al. QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks[J]. COMPUTER COMMUNICATIONS,2020,150:304-316.
APA Liu, Jianmin.,Wang, Qi.,He, ChenTao.,Jaffres-Runser, Katia.,Xu, Yida.,...&Xu, YongJun.(2020).QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks.COMPUTER COMMUNICATIONS,150,304-316.
MLA Liu, Jianmin,et al."QMR:Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks".COMPUTER COMMUNICATIONS 150(2020):304-316.

入库方式： OAI收割

来源：计算技术研究所

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