Prediction Metrics for QoE/QoS in Wireless Video Networks for Indoor Environmental Planning: a Bayesian Approach

The evolution of applications on wireless networks has grown in recent years due to the growth in the number of users of mobile phones, tablets, and other. The availability of demanding services, such as video transmission affect the Quality of Experience (QoE) and Quality of service (QoS) provided domestic and commercial users, it has stimulated the study of new techniques of management of network resources, always having as objective to provide high quality services to an increasingly demanding customer. This paper presents a methodology of Artificial Intelligence, using the technique of Bayesian networks, as a hybrid evaluation strategy by analyzing the behavior of QoE and QoS metrics, in designing wireless LAN. So, by manipulating the basis of Bayesian networks, it was possible to find satisfactory results for the proposed solution helps the planning of wireless networks in indoor environments, which does not exclude the possibility of using this approach for other situations. Keywords-QoE/QoS; measurements; simulation; Bayesian networks; wireless networks.

[1]  Sathya Narayanan,et al.  Wireless Broadband Measurement in California , 2013, 2013 10th International Conference on Information Technology: New Generations.

[2]  Adam Wolisz,et al.  EvalVid - A Framework for Video Transmission and Quality Evaluation , 2003, Computer Performance Evaluation / TOOLS.

[3]  Raj Jain,et al.  The Art of Computer Systems Performance Analysis : Tech-niques for Experimental Design , 1991 .

[4]  Zhengxin Chen,et al.  Data Mining and Uncertain Reasoning: An Integrated Approach , 2001 .

[5]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems , 1988 .

[6]  Raj Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[7]  Kevin B. Korb,et al.  Bayesian Artificial Intelligence , 2004, Computer science and data analysis series.

[8]  Nandamudi Lankalapalli Vijaykumar,et al.  A Visualization Tool for Analyzing the Design of Physical and Network Layers Parameters of a Wireless Network , 2012, ACITY.

[9]  Antonis G. Dimitriou,et al.  An efficient propagation model for automatic planning of indoor wireless networks , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

[10]  Yang-Han Lee,et al.  Planning system for indoor wireless network , 2001, IEEE Trans. Consumer Electron..

[11]  L. Kamoun,et al.  An overview of quality assessment methods of video transmission over wireless networks , 2012, 2012 16th IEEE Mediterranean Electrotechnical Conference.