Paper Info
Title
Performance evaluation of a decision-theoretic approach for quality of experience measurement in mobile and pervasive computing scenarios
Abstract
Measuring and predicting users quality of experience (QoE) in dynamic network conditions is a challenging task. This paper presents results related to a decision-theoretic methodology incorporating Bayesian networks (BNs) and utility theory for quality of experience (QoE) measurement and prediction in mobile computing scenarios. In particular, we show how both generative and discriminative BNs can be used to measure and predict users QoE accurately for voice applications under several wireless network conditions such as wireless signal fading, vertical handoffs, wireless network congestion and normal hotspot traffic. Through extensive simulation studies and results analysis, we show that our proposed methodology can achieve an average accuracy of 98.70% using three different types of Bayesian network.
Year
DOI
Venue
2012
10.1109/WCNC.2012.6214201
Wireless Communications and Networking Conference
Keywords
Field
DocType
belief networks,computer network performance evaluation,decision theory,fading channels,mobile computing,mobility management (mobile radio),telecommunication traffic,Bayesian network,decision theoretic methodology,dynamic network condition,mobile computing,normal hotspot traffic,performance evaluation,pervasive computing,quality of experience measurement,user quality of experience,utility theory,vertical handoffs,voice applications,wireless network condition,wireless network congestion,wireless signal fading
Dynamic network analysis,Mobile computing,Wireless network,Computer science,Computer network,Real-time computing,Bayesian network,Quality of experience,Ubiquitous computing,Hotspot (Wi-Fi),Mobile telephony
Conference
ISSN
ISBN
Citations 
1525-3511
978-1-4673-0436-8
2
PageRank 
References 
Authors
0.39
6
3
Name
Order
Citations
PageRank
Karan Mitra116917.84
Christer Åhlund221527.85
Arkady B. Zaslavsky3943168.27