论文标题

无人驾驶飞机上的互联网:机遇和挑战

Unmanned Aerial Vehicle for Internet of Everything: Opportunities and Challenges

论文作者

Liu, Yalin, Dai, Hong-Ning, Wang, Qubeijian, Shukla, Mahendra K., Imran, Muhammad

论文摘要

信息和通信技术(ICT)的最新进展已将物联网(IoT)从唯一的“事物”方面扩展到“事物的智能联系”的无所不能作用。同时,所有事物的互联网概念(IOE)的概念是物联网的无所不能扩展。但是,IOE实现面临着关键的挑战,包括受限的网络覆盖范围和现有网络技术的有限资源。最近,无人驾驶飞机(UAV)引起了人们的高度关注,归因于其高移动性,低成本和灵活的部署。因此,无人机可能有可能克服IOE的挑战。本文介绍了有关无人机IOE的机遇和挑战的全面调查。我们首先提出了IOE的三个关键期望:1)可伸缩性需要可扩展的网络体系结构,并具有无处不在的覆盖范围,2)需要智能事物的全球计算平面的智能,3)需要多样化的多样性,需要各种应用程序的规定。此后,我们审查了能够达到这些期望的能力技术,并讨论了IOE的四个固有约束(即覆盖范围约束,电池限制,计算约束和安全问题)。然后,我们介绍无人机的概述。接下来,我们将讨论UAV给IOE带来的机会。此外,我们通过利用无人机的移动性来介绍一个启用了无人机的IOE(UE-IIO)解决方案,其中我们表明UE-IOE可以大大提高IOE的可扩展性,智能和多样性。最后,我们概述了UE-IOE的未来指示。

The recent advances in information and communication technology (ICT) have further extended Internet of Things (IoT) from the sole "things" aspect to the omnipotent role of "intelligent connection of things". Meanwhile, the concept of internet of everything (IoE) is presented as such an omnipotent extension of IoT. However, the IoE realization meets critical challenges including the restricted network coverage and the limited resource of existing network technologies. Recently, Unmanned Aerial Vehicles (UAVs) have attracted significant attentions attributed to their high mobility, low cost, and flexible deployment. Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. We first present three critical expectations of IoE: 1) scalability requiring a scalable network architecture with ubiquitous coverage, 2) intelligence requiring a global computing plane enabling intelligent things, 3) diversity requiring provisions of diverse applications. Thereafter, we review the enabling technologies to achieve these expectations and discuss four intrinsic constraints of IoE (i.e., coverage constraint, battery constraint, computing constraint, and security issues). We then present an overview of UAVs. We next discuss the opportunities brought by UAV to IoE. Additionally, we introduce a UAV-enabled IoE (Ue-IoE) solution by exploiting UAVs's mobility, in which we show that Ue-IoE can greatly enhance the scalability, intelligence and diversity of IoE. Finally, we outline the future directions in Ue-IoE.

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