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

Author:

Adil Muhammad1ORCID,Song Houbing2ORCID,Jan Mian Ahmad3ORCID,Khan Muhammad Khurram4ORCID,He Xiangjian5ORCID,Farouk Ahmed6ORCID,Jin Zhanpeng7ORCID

Affiliation:

1. Computer Science and Engineering, University at Buffalo, Buffalo, United States

2. School of Information Systems, University of Maryland Baltimore County, Baltimore United States

3. Department of Computer Science, College of Computing and Informatics,, University of Sharjah, Sharjah United Arab Emirates

4. Center of Excellence in Information Assurance, King Saud University, Riyadh Saudi Arabia

5. School of Computer Science, University of Nottingham Ningbo, Zhejiang China

6. Department of Computer Science, Faculty of Computers and Artificial Intelligence, South Valley University, Hurghada Egypt

7. Computer Science and Engineering, University at Buffalo, Buffalo United States and School of Future Technology, South China University of Technology, Guangzhou China

Abstract

Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an emerging concept that effectuates 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 has 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.

Funder

Guangdong Provincial Key Laboratory of Human Digital Twin

Endowed Professorship from the Shenzhen Holdfound Foundation

King Saud University, Riyadh, Saudi Arabia

Publisher

Association for Computing Machinery (ACM)

Reference143 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3