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Advanced Co-Simulation Platform for UAV Simulations Under Virtual Wireless Network Environmentsopen access

Authors
Cho, Wan JooKim, SeongheonKim, YoonsooMoon, Yong Ho
Issue Date
2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Wireless networks; Autonomous aerial vehicles; Solid modeling; Synchronization; Data models; Virtual environments; Delay effects; Simulation; Unmanned aerial vehicle; co-simulation; UAV simulation; wireless network environment; synchronization; software platform
Citation
IEEE ACCESS, v.10, pp 95498 - 95508
Pages
11
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
10
Start Page
95498
End Page
95508
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/2827
DOI
10.1109/ACCESS.2022.3201526
ISSN
2169-3536
Abstract
In this paper, we propose an advanced co-simulation platform that performs the unmanned aerial vehicle (UAV) simulation and the wireless network simulation concurrently. As UAV-based applications become more advanced and complicated and the commands and data transmitted between UAV and ground control station significantly increase, it is vital to safely and robustly transmit the packets carrying commands and data in a wireless network environment. However, the conventional UAV simulation platforms do not take into account the wireless network conditions encountered in the real-world flight so they cannot sufficiently simulate packet transmission. To address this issue, co-simulation platforms have been developed to verify UAV-based applications under a virtual wireless network environment. However, they still cannot effectively support the co-simulation needed to develop the UAV-based applications. In this paper, we have derived a list of improvements to the conventional co-simulation platform based on analysis of the conventional ones. Based on these improvements, we have developed an advanced co-simulation platform consisting of a UAV simulation part, a wireless network simulation part, and an integration part. In this platform, a two-channel approach was introduced to parallelize the synchronization required for performing the UAV simulation and the wireless network simulation simultaneously. The experimental results carried out on three test scenarios demonstrate that the proposed platform accurately performs co-simulation by efficient interoperation of its three parts and by remarkable reduction of the processing time delay, and that it is extendible due to its modularized software architecture.
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