UAV-Assisted IoT Applications, QoS Requirements and Challenges with Future Research Directions

IF 23.8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS ACM Computing Surveys Pub Date : 2024-04-10 DOI:10.1145/3657287
Muhammad Adil, Houbing Song, Mian Jan, Muhammad Khan, Xiangjian He, Ahmed Farouk, Zhanpeng Jin
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Abstract

ABSTRACT: Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an emerging concept that effectuate the foreknowledge of innovative technologies. With the accelerated advancements in IoT applications, the importance of this technology became more impactful and persistent. Moreover, this technology have demonstrated useful contributions across various domains, ranging from general to specific applications. Examples include wildfire monitoring, coastal area monitoring, deforestation monitoring, and sensitive military operations, where human access is limited or not feasible. These examples underscore the technology’s importance in scenarios where direct human involvement is challenging or impossible. Although this technology offers numerous benefits, it is essential to note that it also faces several challenges. Among these, Quality of Service (QoS) is a key concern, which limits its useability in various applications. Unfortunately, most researchers in the present literature have overlooked this important factor without giving it considerable attention. To fill this gap, we are presenting a systematic review of the present literature associated with the QoS metrics of this emerging technology from 2015 to 2023 to highlight their contributions and limitations. Based on the systematic review, we highlight the open challenges of this technology to set a roadmap for futuristic research. Finally, we compared each portion of this work with the previously published review articles to confirm the essence of this work, along with an explanation of why this survey is needed and in-time.

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无人机辅助物联网应用、服务质量要求和挑战与未来研究方向
摘要:无人驾驶飞行器(UAV)辅助物联网应用通信是一个新兴概念,它实现了对创新技术的预知。随着物联网应用的加速发展,这项技术的重要性变得更具影响力和持久性。此外,这项技术已在从一般到特殊应用的各个领域做出了有益的贡献。例如,野火监测、沿海地区监测、森林砍伐监测和敏感的军事行动,在这些领域,人类的进入受到限制或不可行。这些例子强调了该技术在人类直接参与具有挑战性或不可能的情况下的重要性。虽然这项技术带来了诸多好处,但必须指出的是,它也面临着一些挑战。其中,服务质量(QoS)是一个关键问题,它限制了该技术在各种应用中的可用性。遗憾的是,目前文献中的大多数研究人员都忽略了这一重要因素,没有给予足够的重视。为了填补这一空白,我们对 2015 年至 2023 年期间与这一新兴技术的 QoS 指标相关的现有文献进行了系统综述,以突出它们的贡献和局限性。在系统综述的基础上,我们强调了这项技术面临的挑战,为未来的研究制定了路线图。最后,我们将这项工作的每个部分与之前发表的综述文章进行了比较,以确认这项工作的本质,并解释了为什么需要及时进行这项调查。
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
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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