A walk on the client side: Monitoring enterprise Wifi networks using smartphone channel scans

MapSense: Mitigating Inconsistent WiFi Signals Using Signal Patterns and Pathway Map for Indoor Positioning

“…1 (right) bar chart shows the distribution of observed APs in 2.4 GHz and 5 GHz frequency band respectively. APs of 5 GHz dominates the observations with smallest and largest appearance frequency, which reveals that 5 GHz channels may be less crowded and weak signals in 5 GHz are more likely to be observed than that in 2.4 GHz [22]. Through empirical investigation of the WiFi networks in our experimental site, one primary reason caused the excessive number of APs is the virtual access point (VAP) functionality of enterprise WLAN infrastructure, which allows one physical AP to have multiple separate WLAN with its BSSID and SSID (service set identifier).…”

An indoor positioning approach using sibling signal patterns in enterprise WiFi infrastructure

“…1 (right) bar chart shows the distribution of observed APs in 2.4 GHz and 5 GHz frequency band respectively. APs of 5 GHz dominates the observations with smallest and largest appearance frequency, which reveals that 5 GHz channels may be less crowded and weak signals in 5 GHz are more likely to be observed than that in 2.4 GHz [10]. Through empirical investigation of the WiFi networks in our experimental site, one major reason caused the excessive number of APs is the virtual access point (VAP) functionality of enterprise WLAN infrastructure, which allows one physical AP to have multiple separate WLAN with its own BSSID and SSID (service set identifier).…”

Wi-5: A Programming Architecture for Unlicensed Frequency Bands

“…This could have been avoided if AP2 (green) were to be used for some period of time. This issue is widely known as the "sticky client" problem [13], and our architecture is solving it [12]. In Fig.…”