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

doi:10.1145/3678011

	Reliable and Energy-Efficient Communications in Mobile Robotic Networks by Collaborative Beamforming
	He, Min 1,2; Chen, Yali 1; Liu, Min 3,4,5; Fan, Xiaokun 1,2; Zhu, Yuchen 1,2
	2024-09-01
发表期刊	ACM TRANSACTIONS ON SENSOR NETWORKS
ISSN	1550-4859
卷号	20 期号:5 页码:24
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.
关键词	Collaborative beamforming distributed reinforcement learning energy efficiency mobile robotic networks reliable communications
DOI	10.1145/3678011
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:001332607000006
出版者	ASSOC COMPUTING MACHINERY
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39536
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.