ILLUMINE: Illumination UAVs deployment optimization based on consumer drone

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Bo Ma, Yexin Pan, Yong Xu, Zitian Zhang, Chao Chen, Chuanhuang Li
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引用次数: 0

Abstract

Traditional ground-based illumination equipment is limited in mobility and light source height, making it difficult to adapt to diverse living scenarios such as camping that require quick and flexible illumination solutions. With the rapid development of Unmanned Aerial Vehicle (UAV) technology, particularly in illumination services, UAVs have demonstrated unique advantages. Addressing the inadequacies of conventional illumination, this study proposes a prototype of an autonomously deployed illumination system based on the RoboMaster Tello Talent (Tello) UAV, designed to provide quick and flexible on-site illumination solutions. The system’s design encompasses three complementary modules to enhance its overall functionality and efficiency. Firstly, the illumination module equips the Tello UAV with a specialized illumination extension, ensuring flight stability and effective illumination. Secondly, the addressing module employs iterative algorithms to identify optimal UAV deployment locations and precisely plan flight paths. Lastly, the flight control module, guided by the results from the addressing module, scripts flight commands, integrates with the Tello UAV’s Application Programming Interface (API), and executes flight plans optimized for path efficiency, ensuring the UAV quickly and accurately reaches designated locations, coordinating with the illumination module to deliver effective illumination. Experimental results demonstrate that the proposed illumination system can swiftly respond to various user demands, autonomously deploy UAVs to optimal illumination positions, and provide high-quality service.

ILLUMINE:基于消费级无人机的照明无人机部署优化
传统的地面照明设备在移动性和光源高度方面受到限制,难以适应露营等需要快速灵活照明解决方案的多样化生活场景。随着无人机(UAV)技术的快速发展,尤其是在照明服务方面,无人机已显示出独特的优势。针对传统照明的不足,本研究提出了一种基于 RoboMaster Tello Talent(Tello)无人机的自主部署照明系统原型,旨在提供快速灵活的现场照明解决方案。该系统的设计包括三个互补模块,以增强其整体功能和效率。首先,照明模块为 Tello 无人机配备了专门的照明扩展装置,确保飞行稳定性和有效照明。其次,寻址模块采用迭代算法确定无人机的最佳部署位置,并精确规划飞行路径。最后,飞行控制模块在寻址模块结果的指导下,编写飞行指令脚本,与 Tello 无人机的应用程序接口(API)集成,执行优化路径效率的飞行计划,确保无人机快速、准确地到达指定地点,并与照明模块协调,提供有效的照明。实验结果表明,拟议的照明系统能够迅速响应各种用户需求,自主将无人机部署到最佳照明位置,并提供高质量的服务。
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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来源期刊
Ad Hoc Networks
Ad Hoc Networks 工程技术-电信学
CiteScore
10.20
自引率
4.20%
发文量
131
审稿时长
4.8 months
期刊介绍: The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.
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