Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks

doi:10.3390/drones8070285

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	Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks
	Wu, Jianfeng1,2,3 ; Bai, Kaiyuan 1,3; Wu, Huabing 1,2,3
	2024-07-01
发表期刊	DRONES
卷号	8 期号:7 页码:22
摘要	Time synchronization is a critical prerequisite for unmanned aerial vehicle ad hoc networks (UANETs) to facilitate navigation and positioning, formation control, and data fusion. However, given the dynamic changes in UANETs, improving the convergence speeds of distributed consensus time synchronization algorithms with only local information poses a major challenge. To address this challenge, this study first establishes a convex model on the basis of graph theory and relevant theories of random matrices to approximate the original problem. Subsequently, three acceleration schemes for consensus algorithms are derived by minimizing the Frobenius norm of the iteration matrix. Additionally, this study provides a new upper bound for constant communication weights and discusses the limitations of existing metrics used to measure the convergence speeds of consensus algorithms. Finally, the proposed schemes are compared with existing ones through simulation. Our results indicate that the three proposed schemes can achieve faster convergence while maintaining high-precision synchronization in scenarios with static or known topological structures of networks. In scenarios where the topological structure of a UANET is time-varying and unknown, the scheme proposed in this paper achieves the fastest convergence speed.
关键词	convergence speed distributed consensus algorithms time synchronization topological structures time-varying Frobenius norm unmanned aerial vehicles
资助者	Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences
DOI	10.3390/drones8070285
关键词[WOS]	AVERAGE CONSENSUS ; MULTIAGENT SYSTEMS ; AGENTS
语种	英语
资助项目	Youth Innovation Promotion Association of Chinese Academy of Sciences[Y2023109]
资助者	Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences ; Youth Innovation Promotion Association of Chinese Academy of Sciences
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS记录号	WOS:001277020000001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/14489
专题	时间用户系统研究室
通讯作者	Wu, Huabing
作者单位	1.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China 2.Chinese Acad Sci, Key Lab Time Reference & Applicat, Xian 710600, Peoples R China 3.Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wu, Jianfeng,Bai, Kaiyuan,Wu, Huabing. Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks[J]. DRONES,2024,8(7):22.
APA	Wu, Jianfeng,Bai, Kaiyuan,&Wu, Huabing.(2024).Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks.DRONES,8(7),22.
MLA	Wu, Jianfeng,et al."Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks".DRONES 8.7(2024):22.