English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Monitoring the network performance experienced by the end-user is crucial formanagers of wireless networks as it can enable them to remotely modify thenetwork parameters to improve the end-user experience. Unfortunately, forperformance monitoring, managers are typically limited to the logs of theAccess Points (APs) that they manage. This information does not directlycapture factors that can hinder station (STA) side transmissions. Consequently,state-of-the-art methods to measure such metrics primarily involve activemeasurements. Unfortunately, such active measurements increase traffic load andif used regularly and for all the STAs can potentially disrupt user traffic,thereby worsening performance for other users in the network and draining thebattery of mobile devices.  This thesis enables passive AP-side network analytics. In the first part ofthe thesis, I present virtual speed test, a measurement based framework thatenables an AP to estimate speed test results for any of its associated clientssolely based on AP-side observables. Next, I present Uplink Latency Microscope(uScope), an AP-side framework for estimation of WLAN uplink latency for any ofthe associated STAs and decomposition into its constituent components. Similarto virtual speed test, uScope makes estimations solely based on passive AP-sideobservations. We implement both frameworks on a commodity hardware platform andconduct extensive field trials on a university campus and in a residentialapartment complex. In over 1 million tests, the two proposed frameworksdemonstrate an estimation accuracy with errors under 10%.

AP-side WLAN Analytics