用于灾害监测的多无人机网络:从网络角度看挑战与机遇

Indu Chandran, Kizheppatt Vipin
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引用次数: 0

摘要

无论是自然还是人为灾害,都需要快速、全面的应对措施。无人驾驶飞行器(UAV)或无人机已成为灾难场景中必不可少的设备,在基础设施受损的地区充当重要的通信中继器。它们可以建立临时网络,协助应急人员之间的协调,为及时援助幸存者提供便利。通过将这些网络的协作能力与实时数据处理相结合,传感技术的最新进展改变了应急响应。然而,将这些网络用于灾害监测应用仍面临挑战,特别是在部署策略、数据处理、路由选择和安全性方面。广泛的研究对于完善特设网络解决方案、提高这些系统的灵活性和有效性至关重要。本文探讨了用于灾害监测的多无人机网络的各个方面,包括网络架构、组建策略、通信协议和安全问题。文章还探讨了边缘计算和人工智能等使能技术在提高网络性能和安全性方面的潜力。此外,文章还详细概述了关键挑战和开放性问题,概述了用于灾害响应的多无人机网络这一不断发展的领域的各种研究前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-UAV Networks for Disaster Monitoring: Challenges and Opportunities from a Network Perspective
Disasters, whether natural or man-made, demand rapid and comprehensive responses. Unmanned Aerial Vehicles (UAVs), or drones, have become essential in disaster scenarios, serving as crucial communication relays in areas with compromised infrastructure. They establish temporary networks, aiding coordination among emergency responders and facilitating timely assistance to survivors. Recent advancements in sensing technology have transformed emergency response by combining collaborative power of these networks with real-time data processing. However, challenges still to consider these networks for disaster monitoring applications, particularly in deployment strategies, data processing, routing, and security. Extensive research is crucial to refine ad-hoc networking solutions, enhancing the agility and effectiveness of these systems. This article explores various aspects, including network architecture, formation strategies, communication protocols, and security concerns in multi-UAV networks for disaster monitoring. It also examines the potential of enabling technologies like edge computing and artificial intelligence to bolster network performance and security. Further, the article provides a detailed overview of the key challenges and open issues, outlining various research prospects in the evolving field of multi-UAV networks for disaster response.
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