Residential College | false |
Status | 已發表Published |
Unmanned-Aerial-Vehicle-Assisted Wireless Networks: Advancements, Challenges, and Solutions | |
Dai Minghui1; Huang Ning1; Wu Yuan1,2; Gao Jie3; Su Zhou4 | |
2022-12 | |
Source Publication | IEEE Internet of Things Journal |
ISSN | 2327-4662 |
Volume | 10Issue:5Pages:4117-4147 |
Abstract | The rapid development of communication and computing techniques enables unmanned aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and computing services from the air. Compared to the conventional fixed infrastructure, UAVs have attractive attributes, such as high flexibility and operability, and, as a result, on-demand line-of-sight connection links. Therefore, UAV-assisted wireless networks have been envisioned as a promising paradigm to achieve enhanced coverage and connectivity for future wireless communications. Meanwhile, achieving high levels of energy efficiency, sensing, communication, and computing capacities, and security and privacy are critical to the success of UAV-assisted wireless networks. In order to improve the performance of UAV-assisted wireless networks, some frameworks and mechanisms have been developed in the past few years. In this article, we provide a comprehensive survey of these developments. Specifically, we conduct a brief overview for the architecture of UAV-assisted wireless networks from four domains (i.e., framework-related, technology-related, challenge-related, and solution-related) and four aspects (i.e., sensing-related, communication-related, computing-related, and application-related). Then, the integrated sensing, communication, and computing for UAV-assisted wireless networks is introduced, followed by the characteristics and requirements. We also provide the implementation and applications of UAV-assisted wireless networks. Next, we discuss the challenges and the state-of-the-art solutions for UAV-assisted wireless networks. Finally, the advanced technologies for UAV-assisted communication and computing networks are exploited, followed by the potential research directions. |
Keyword | Applications Communication Computing Integrated Sensing Unmanned Aerial Vehicles (Uavs) Wireless Networks |
DOI | 10.1109/JIOT.2022.3230786 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering ; Telecommunications |
WOS Subject | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS ID | WOS:000938278700031 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85146224054 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Wu Yuan |
Affiliation | 1.State Key Laboratory of Internet of Things for Smart City and the Department of Computer and Information Science, University of Macau, Macau, China 2.Zhuhai UM Science and Technology Research Institute, Zhuhai, China 3.School of Information Technology, Carleton University, Ottawa, Canada 4.School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Dai Minghui,Huang Ning,Wu Yuan,et al. Unmanned-Aerial-Vehicle-Assisted Wireless Networks: Advancements, Challenges, and Solutions[J]. IEEE Internet of Things Journal, 2022, 10(5), 4117-4147. |
APA | Dai Minghui., Huang Ning., Wu Yuan., Gao Jie., & Su Zhou (2022). Unmanned-Aerial-Vehicle-Assisted Wireless Networks: Advancements, Challenges, and Solutions. IEEE Internet of Things Journal, 10(5), 4117-4147. |
MLA | Dai Minghui,et al."Unmanned-Aerial-Vehicle-Assisted Wireless Networks: Advancements, Challenges, and Solutions".IEEE Internet of Things Journal 10.5(2022):4117-4147. |
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