篇名 | Dissecting Campus WiFi Connections in an Empirical View |
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卷期 | 30:1 |
作者 | Chengwei Zhang 、 Xiaojun Hei 、 Yexian Fan 、 Liang Xiao |
頁次 | 064-074 |
關鍵字 | active probing 、 connection time 、 mobile crowd sensing 、 WiFi measurement 、 EI 、 MEDLINE 、 Scopus |
出刊日期 | 201902 |
DOI | 10.3966/199115992019023001007 |
High-density WiFi networks have been deployed in large-scale public areas to provide cost-effective Internet access for mobile end-users in recent years. While pedestrians are wandering around in WiFi coverage areas, the most essential issue is to establish and maintain connections between WiFi end-hosts and access points (AP) to deliver data effectively. As the resident time restricted by the end-user’s mobility and the limited WiFi coverage, the connection establishment and re-connection may significantly impact user’s experience and transmission efficiency of WiFi networks. We conducted a measurement study of dissecting WiFi connections on the real-world densely-deployed campus WiFi networks using an instrumented WiFi measurement framework. The whole connection setup procedure, consisting of Authentication-Association (AA), handshake and IP acquisition, is generally affected by AP densities, RSSI levels, pedestrians’ moving characteristics, etc. Mobile devices frequently attempt to establish wireless connections with available WiFi APs; nevertheless, the ratio of successful attempts is only about 10% in the observed measurements, which is quite low while pedestrians moving around in WiFi hot spots. Our field measurement may provide insights into designing the next generation software-defined WiFi networks for optimizing connection setup time, improving success connection ratio and achieving high effective data delivery.