Wireless LAN Operation and Behavioral Inferences from Usage Analysis

Abstract

The majority of network connections on campus is shifting from wired to wireless. Understanding and analyzing the usage of wireless LANs can lead us beyond mere network management to the analysis of users' behavior on campus and the discovery of new insights. In 2022, campus activity has returned to levels seen before the pandemic, but the effects of the COVID-19 disaster remain. Compared to pre-pandemic years, the use of wireless LANs on campus has increased significantly due to high smartphone ownership rates and the promotion of distance learning reliant on personally owned devices (BYOD). The use of multiple devices per person has also increased, creating new issues such as congestion and IP allocation problems. To accurately understand and improve these situations, we are collecting and analyzing connection information of our wireless LAN systems. Interestingly, our analysis of wireless LAN use provides information beyond the mere discovery of technical problems. From the results, we were able to identify ways we might improve the operation of the wireless LAN, as well as information to make inferences about the time spent by students on campus, their flow lines, and their behavior patterns. In this paper, we will report on the current status of the operation of the wireless LAN at Fukuoka University and the behavioral information inferred from our analysis of wireless LAN usage.