自组织多用户无人机群模拟平台

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Programming and Computer Software Pub Date : 2024-01-26 DOI:10.1134/s0361768823090086
V. Poghosyan, S. Poghosyan, A. Lazyan, A. Atashyan, D. Hayrapetyan, Y. Alaverdyan, H. Astsatryan
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引用次数: 0

摘要

摘要 无人机群(UAV)为各种应用提供了一种成本效益高、时间效率高的数据收集和分析解决方案。本研究介绍了一个尖端的自组织无人机群模拟平台,该平台由集体人工智能赋能,旨在利用无人机群促进地形监测和优化任务性能。基于云的多用户平台为用户提供了无缝用户协作和实时视频观看的交互功能,以便对动态地形图像进行集体探索,允许用户从 QT 界面无缝生成请求。无人机地图配置器有助于创建和修改无人机群导航地图,优化其行为和性能。此外,参数交流系统可促进蜂群成员之间的沟通和协调,而 QT 服务层可确保安全地将数据传输到云服务器。这些集成数据有助于形成基本的蜂群和目标任务,确定关键参数,如蜂群参与人数、初始相对坐标位置和状态(成像器和/或攻击)。服务器采用先进的算法来实现这些功能,包括基于转子-路由器模型的研究道路图和使用八卦/广播模型的综合信息交换图。这些算法在服务器环境中协同工作,实现了无人机群之间高效的任务规划和协调。此外,该平台还能将已形成的目标任务无缝传输到无人机群各参与者的内存中,从而提高他们的决策能力和无人机群的整体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Self-Organizing Multi-User UAV Swarm Simulation Platform

Abstract

Unmanned aerial vehicles (UAV) swarms offer a cost-effective, time-efficient data collection and analysis solution across various applications. The study presents a cutting-edge self-organizing UAV swarm simulation platform empowered by collective artificial intelligence designed to facilitate terrain monitoring and optimize task performance using a fleet of UAVs. The cloud-based multi-user platform provides users with interactive features for seamless user collaboration and real-time video viewing for collective exploration of dynamic terrain imagery, allowing users to generate requests seamlessly from the QT interface. The UAV map configurator facilitates the creation and modification of UAV swarm navigation maps, optimizing their behavior and performance. Additionally, the parameter gossip system fosters communication and coordination among swarm members, while the QT service layer ensures secure data transfer to cloud servers. This integrated data fuels the formation of essential swarm and target tasks, determining key parameters such as swarm participant count, initial relative coordinate positions, and statuses (imager and/or strike). The server employs advanced algorithms to achieve these functionalities, including the research road graph based on the rotor-router model and the comprehensive information exchange graph using the gossip/broadcast model. These algorithms work synergistically within the server environment, enabling efficient task planning and coordination among the UAV swarm. Furthermore, the platform allows for the seamless transmission of the formed target tasks to the memory of individual swarm participants, enhancing their decision-making capabilities and overall swarm performance.

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来源期刊
Programming and Computer Software
Programming and Computer Software 工程技术-计算机:软件工程
CiteScore
1.60
自引率
28.60%
发文量
35
审稿时长
>12 weeks
期刊介绍: Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.
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