A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints
A Fleet of MEC UAVs to Extend a 5G Network Slice for Video Monitoring with Low-Latency Constraints
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DOI：
10.3390/jsan8010003
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发表时间：
2019-01-01
影响因子：
3.5
通讯作者：
Schembra, Giovanni
中科院分区：
文献类型：
--
作者：
Grasso, Christian;Schembra, Giovanni
在过去的十年中，视频监控系统变得越来越流行。由于视频摄像机设备价格的下降和廉价小型无人机（uav）的普及，视频监控如今被广泛应用于从道路交通控制到精准农业的各种应用案例中。这导致捕获大量的视觉材料，以监测和筛选事件检测。然而，从视频监控无人机平台收集的信息可能会产生大量数据，这些数据的处理不可能由执行监控的同一无人机在本地完成。此外，由于将无人机与安装在地面上的计算基础设施连接起来的无线链路带宽有限，将这些数据卸载到边缘云使得这些平台对于具有低延迟要求的视频分析应用程序不可行。本文的目标是通过具有多接入边缘计算（MEC）设施的无人机（MEC无人机）组成的飞行自组织网络（FANET）扩展用于视频监控的5G网络切片，该网络非常接近监控感兴趣区域的无人机层。为了提高整个空中MEC平台的性能，定义了MEC无人机之间的互助策略，从而进一步减少源和执行器之间的端到端延迟，提高系统可靠性。考虑用例来对所建议的平台进行数值分析。
In the last decade, video surveillance systems have become more and more popular. Thanks to a decrease in price of video camera devices and the diffusion of cheap small unmanned aerial vehicles (UAVs), video monitoring is today adopted in a wide range of application cases, from road traffic control to precision agriculture. This leads to capture a great amount of visual material to be monitored and screened for event detection. However, information that is gathered from a platform of video monitoring UAVs may produce high-volume data, whose processing is unfeasible to be done locally by the same UAVs that perform monitoring. Moreover, because of the limited bandwidth of wireless links connecting UAVs to computing infrastructures that are installed on ground, offloading these data to edge clouds renders these platforms infeasible for video analysis applications with low-latency requirements. The target of this paper is to extend a 5G network slice for video monitoring with a Flying Ad-hoc NETwork (FANET) constituted by UAVs with multi-access edge computing (MEC) facilities (MEC UAVs), flying very close to the layer of UAVs monitoring the area of interest. A policy for mutual help among MEC UAVS is defined in order to increase the performance of the whole aerial MEC platform, so further reducing end-to-end latency between sources and actuators, and increasing system reliability. A use case is considered for a numerical analysis of the proposed platform.