Intelligent Collaboration of Multi-Agent Flying UAV-Fog Networking for better QoS

A. Gupta, Sachin Kumar Gupta
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引用次数: 1

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming a worldwide trend in the drive for technical improvements. The robust approach between densely deployed Internet of Things (IoT) devices and cellular users in 5G and beyond will produce a massive amount of data in reality. Thus, the traditional heterogeneous wireless networks are inefficient in handling a large amount of data while maintaining network latency. This will create havoc in critical applications such as disaster management, and public safety where a fraction of latency is not tolerated. To address the shortcomings of existing wireless networks, UAVs equipped with fog nodes work as a server, and this collaboration completes missions more swiftly and inexpensively. Fog computing is an eminent technology for maintaining a huge number of user data while ensuring minimal network latency. This paper proposes to collaborate UAVs with fog computing whereas some of the UAVs work as fog nodes with computing capabilities and some work as local UAVs to provide endless connectivity and seamless coverage. Meanwhile, a collaboration of UAVs and UAV-Fog nodes is used to formulate and assign multiple tasks to users in order to offload the volume of data with maximum capacity and minimum latency. The result analysis shows that the proposed network can balance the overall network with minimum latency and better Quality of Service (QoS).
多智能体飞行无人机-雾网络的智能协作,以获得更好的服务质量
在技术改进的驱动下,无人驾驶飞行器(uav)正在成为一种全球趋势。密集部署的物联网(IoT)设备和5G及以后的蜂窝用户之间的强大方法将在现实中产生大量数据。因此,传统的异构无线网络在保持网络延迟的同时,在处理大量数据方面效率低下。这将在关键应用程序中造成严重破坏,例如灾难管理和公共安全,在这些应用程序中不能容忍一小部分延迟。为了解决现有无线网络的缺点,配备雾节点的无人机可以作为服务器,这种协作可以更快、更便宜地完成任务。雾计算是一项杰出的技术,用于维护大量用户数据,同时确保最小的网络延迟。本文提出将无人机与雾计算进行协作,其中一些无人机作为具有计算能力的雾节点,一些无人机作为本地无人机提供无限连接和无缝覆盖。同时,利用无人机和无人机雾节点的协作,为用户制定和分配多个任务,以最大容量和最小延迟卸载数据量。结果分析表明,所提出的网络能够以最小的延迟和更好的服务质量(QoS)平衡整个网络。
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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