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Energy-based Anomaly Detection in Quality of Experience
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2013 (English)Conference paper (Refereed)
Abstract [en]

Subjective performance of smartphone-based high bandwidth- and energy-demanding applications and services such as video streaming, are highly influenced by the temporal impairments perceived by the user at the user interface; and the application's energy consumption patterns. Therefore, we study the influence of the anomalies detected by objective measurements from the user interface and the network-level, on the power consumption during video streaming on the smartphone. In this paper, we study the inter-frame time metric, i.e., the time gap between two consecutive displayed pictures at the user interface; the inter-packet time and the initial signaling duration at the network-level; and the instantaneous power consumption at the power supply of the smartphone. We conduct experiments on the VLC media player, while streaming video via local-storage; via 3G using RTSP protocol; and via 3G using HTTP protocol. We show that the anomalies detected at the instantaneous power consumption reveals the anomalies at the user interface and the network-level.

Place, publisher, year, edition, pages
New Jersey: IEEE , 2013.
Keyword [en]
QoE, Energy, QoS, Video streaming
National Category
Telecommunications Computer Science
URN: urn:nbn:se:bth-6669ISI: 000332186700085Local ID: diva2:834193
Green Cognitive Radio Access Networks, International Symposium on Wireless Personal Multimedia Communications
Available from: 2014-07-17 Created: 2013-08-14 Last updated: 2016-09-07Bibliographically approved

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