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Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming

文献类型：期刊论文

作者He, Min1,2; Chen, Yali1; Liu, Min3,4,5; Fan, Xiaokun1,2; Zhu, Yuchen1,2
刊名ACM TRANSACTIONS ON SENSOR NETWORKS
出版日期2024-09-01
卷号20期号:5页码:24
关键词Collaborative beamforming distributed reinforcement learning energy efficiency mobile robotic networks reliable communications
ISSN号1550-4859
DOI10.1145/3678011
英文摘要For mobile robotic networks in industrial scenarios, reliable and energy-efficient communications are crucial yet challenging. Fortunately, collaborative beamforming (CB) emerges as a promising solution, which can increase the transmission gain and reduce the transmit power of robots by constructing a mobile robot-enabled virtual antenna array (MRVAA). The performance of CB is tightly related to robot positions, necessitating proper robot selection. However, robot selection may expose the network to the risk of unbalanced energy distribution, reducing network lifetime. Additionally, the mobility and variable numbers of robots require flexible and scalable robot selection algorithms. To tackle these challenges, we first formulate a multi-objective optimization problem to reduce the maximum sidelobe level (MSLL) of MRVAA while minimizing the standard deviation of the network energy distribution (SDNED) by selecting robots for CB. Then, based on distributed multi-agent learning (MARL), we propose an effective and scalable robot selection algorithm with energy considered (RoSE) to solve the problem, where difference-rewards function (DRF) and policy sharing are designed for enhancing convergence rate and policy stability. Simulation results show that the RoSE has the scalability to positions and numbers of robots. Furthermore, RoSE surpasses existing selection algorithms in network lifetime and time efficiency, while still maintaining comparable MSLL.
资助项目National Key Research and Development Program of China[2021YFB2900102] ; National Natural Science Foundation of China[62202449] ; National Natural Science Foundation of China[62072436]
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:001332607000006
出版者ASSOC COMPUTING MACHINERY
源URL[http://119.78.100.204/handle/2XEOYT63/39535]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liu, Min
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.Chinese Acad Sci, Inst Comp Technol, Network Technol Res Ctr, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing, Peoples R China
5.Zhongguancun Lab, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 He, Min,Chen, Yali,Liu, Min,et al. Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming[J]. ACM TRANSACTIONS ON SENSOR NETWORKS,2024,20(5):24.
APA He, Min,Chen, Yali,Liu, Min,Fan, Xiaokun,&Zhu, Yuchen.(2024).Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming.ACM TRANSACTIONS ON SENSOR NETWORKS,20(5),24.
MLA He, Min,et al."Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming".ACM TRANSACTIONS ON SENSOR NETWORKS 20.5(2024):24.

入库方式： OAI收割

来源：计算技术研究所

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