WirelessDT: A Digital Twin Platform for Real-Time Evaluation of Wireless Software Applications

被引:5
|
作者
Lai, Zhongzheng [1 ]
Yuan, Dong [1 ]
Chen, Huaming [1 ]
Zhang, Yu [1 ]
Bao, Wei [1 ]
机构
[1] Univ Sydney, Fac Engn, Sydney, NSW, Australia
来源
2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS, ICSE-COMPANION | 2023年
关键词
Digital Twin; Wireless Software Evaluation; Wireless Signal Emulation; Emulation Tool;
D O I
10.1109/ICSE-Companion58688.2023.00043
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Wireless technology has become one of the most important parts of our daily routine. Besides being used for communication, the wireless signal has been applied to various Wireless Software Applications (WSAs). The signal fluctuation caused by the measurement system or the environmental dynamic can significantly influence WSAs' performance, making it challenging to evaluate WSAs in real-world scenarios. To overcome these challenges, we propose WirelsssDT, a wireless digital twin platform, using digital twin and real-time ray tracing technologies to emulate the wireless signals propagation and generate emulation data for real-time WSAs evaluation. In this demonstration, we evaluate a wireless indoor localisation mobile application with two typical prediction algorithms: 1) Kalman Filter-based Trilateration and 2) Deep Recurrent Neural Network, as a case study to demonstrate the capabilities of WirelessDT. The source code is available at https://github.com/ codelzz/WirelessDT, and the demonstration video is available at https://youtu.be/9Kl- 3jgMBUA.
引用
收藏
页码:146 / 150
页数:5
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