The Construction and Implementation of Wireless Network Online Learning System Based on Edge Computing

Abstract

In the critical period of COVID-19 epidemic prevention, universities are required to stop all in-person classes. These issues have a huge impact on wireless network education. In additional, the traditional wireless network laboratory construction also has the problem of high hardware investment. To address these issues, we propose a novel wireless network online learning system (WNOLS) based on edge computing (EC). Firstly, we realize the simultaneous operation of multiple virtual network devices (VNDs) on the same physical device through EC and virtualization technology. Secondly, we design a unified experimental resource description method based on XML format, which is parsed by the parser and executed by the topology switcher to realize the rapid deployment of the experimental environment. An isolated design of in-band and out-of-band networks to avoid mutual interference between administrative and experimental data is proposed. Furthermore, we present a blended learning mode integrating online learning and project-based learning in the field of wireless network teaching. The practice results show that the WNOLS effectively alleviates the impact of the epidemic on the offline classes and improves the learning efficiency of learners. Besides, compared with the traditional approach, it reduces the total fixed investment cost by 30.25%.