MARC details
000 -LEADER |
fixed length control field |
02249nam a22002657a 4500 |
001 - CONTROL NUMBER |
control field |
47989 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250519162657.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
250519b |||||||| |||| 00| 0 eng d |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
ZHOU Longyu |
Relator term |
Author |
245 ## - TITLE STATEMENT |
Title |
Cooperative Digital Twins For UAV-Based Scenarios/ |
Statement of responsibility, etc. |
Longyu Zhou, Supeng Len, Qing Wang, Tony Q.S. Quek, Mohsen Guizani |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Date of publication, distribution, etc. |
2025 |
520 ## - SUMMARY, ETC. |
Summary, etc. |
The advancement of 6G wireless communication technology and the rise of the Internet of things (IoT) has made digital twin (DT) a promising tool for unmanned aerial vehicles (UAVs)-based 6G applications such as intelligent logistics, management of smart cities, and autonomous driving. DT allows UAVs to imitate the status of physical entities in a virtual space for service provisions in the physical space. However, traditional DT solutions are challenging to accurately imitate and derive highly dynamic physical entities due to the limited computing resources of UAVs. To address this issue, we propose a cooperative DT framework to achieve a highly accurate and low-latency DT performance with a double-scale spatial DT manner. We first propose a UAV-based cooperative sensing algorithm to implement comprehensive data collection for building accurate small-scale spatial DT models. Then we propose an adaptive model parameter adjustment algorithm to improve the DT accuracy. Considering the high mobility of physical entities, we propose a model transfer algorithm to achieve a low-latency service provision. Finally, we demonstrate the effectiveness of our proposed framework using a case study of UAV-based multi-target tracking. The experiment results show that our solution achieves an accurate DT with a successful tracking ratio of up to 95 percent with a low system latency of under 1 second compared to traditional DT manners on average, respectively. |
598 ## - BULLETIN HEADING |
Bulletin Heading |
WIRELESS, COMMUNICATION, UAV-BASED, DIGITAL TWINS |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
WIRELESS |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
UAV-BASED |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
DIGITAL TWIN |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
6G |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Supeng Len |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Qing Wang |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Tony Q.S. Quek |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Mohsen Guizani |
773 ## - HOST ITEM ENTRY |
Related parts |
IEEE Communications Magazine, Volume: 63, Number 3, March, 2025, Page:40-46 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Journal |
Suppress in OPAC |
No |