文章基本信息

标题：A distributed algorithm for UAV-based communication networks using constrained extremum seeking
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作者：Chwen-Kai Liao ; Chris Manzie ; Airlie Chapman 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：5429-5434
DOI：10.1016/j.ifacol.2020.12.1541
语种：English
出版社：Elsevier
摘要：AbstractUnmanned autonomous vehicles offer a solution to maintaining adaptive multi-hop communication paths when fixed infrastructure is not available, as may be the case in disaster recovery or in contested environments. Some of the potential challenges these networks face are changing environmental conditions, changing numbers of available agents and the need to avoid certain domains. In this paper, a distributed implementation of a constrained extremum seeking approach is proposed to optimise the signal power along the communication chain by adapting vehicle locations within allowable regions. The approach is demonstrated via simulations that consider both homogeneous and heterogeneous signal transmission pathways.
关键词：KeywordsExtremum seekingconstrained optimisationmobile ad hoc network