The constant growth of the number of Internet users places new demands on the bandwidth of modern communication. The World Wide Web has led to the emergence of various types of traffic, Graphics information, voice data, as well as various video applications demanding their special requirements for such networks. To meet all the requests, one increase of the network is not enough. As the number of Internet users and the various networks annex offices in-creases with each passing day, network needs a means of control that would ensure the support of both existing and new applications and services. There is still a need to address a number of issues before it announces the VoIP as the ultimate replacement of the traditional telephone network. This work provides an overview of the major benefits of VoIP network, as well as the presentation of a new way around the problem of ensuring the high quality of service for VoIP protocol on the basis of neural network model.
References
[1]
Al Smadi, T., et al. (2015) Artificial Intelligence for Speech Recognition Based on Neural Networks. Journal of Signal and Information Processing, 6, 66-72.
https://doi.org/10.4236/jsip.2015.62006
[2]
Larijani, H. and Radhakrishnan, K. (2010) Voice Quality in VoIP Networks Based on Random Neural Networks. 2010 Ninth International Conference on Networks (ICN), Menuires, 11-16 April 2010, 89-92. https://doi.org/10.1109/ICN.2010.23
[3]
Bandung, Y., et al. (2008) Optimizing Voice over Internet Protocol (VoIP) Networks Based-On Extended E-Model. 2008 IEEE Conference on Cybernetics and Intelligent Systems, Chengdu, 21-24 September 2008, 801-805.
https://doi.org/10.1109/ICCIS.2008.4670898
[4]
Singh, H.P., Singh, S. and Singh, J. (2012) Performance Progress in QoS Mechanism in Voice over Internet Protocol System. International Journal of Advanced Research in Computer Science, 3, 4.
[5]
Al Smadi, T. (2013) An Improved Real-Time Speech Signal in Case of Isolated Word Recognition. International Journal of Engineering Research and Applications, 3, 1748-1754.
[6]
Benesty, J., Sondhi, M.M. and Huang, Y., Eds. (2007) Springer Handbook of Speech Processing. Springer Science & Business Media, Berlin.
[7]
Singh, H.P., Singh, S., et al. (2012) Performance Progress in QoS Mechanism in Voice over Internet Protocol System. International Journal of Advanced Research in Computer Science, 3, 40-44.
[8]
Gubbi, J., et al. (2013) Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Generation Computer Systems, 29, 1645-1660.
https://doi.org/10.1016/j.future.2013.01.010
[9]
Radhakrishnan, K. and Larijani, H. (2010) A Study on QoS of VoIP Networks: A Random Neural Network (RNN) Approach. Proceedings of the 2010 Spring Simulation Multiconference, Orlando, Florida, 11-15 April 2010.
https://doi.org/10.1145/1878537.1878656
[10]
Khan, A., et al. (2010) Video Quality Prediction Models Based on Video Content Dynamics for H. 264 Video over UMTS Networks. International Journal of Digital Multimedia Broadcasting, 29, 1-17. https://doi.org/10.1155/2010/608138
[11]
Xu, Y., Westhead, M. and Baker, F. (2004) An Investigation of Multilevel Service Provision for Voice over IP under Catastrophic Congestion. IEEE Communications Magazine, 42, 94-101. https://doi.org/10.1109/MCOM.2004.1304240
[12]
Tseng, K.K., Lai, Y.C. and Lin, Y.D. (2004) Perceptual Codec and Interaction Aware Playout Algorithms and Quality Measurement for VoIP Systems. IEEE Transactions on Consumer Electronics, 50, 297-305. https://doi.org/10.1109/TCE.2004.1277877
[13]
Ren, J., et al. (2010) Enhancement to E-Model on Standard Deviation of Packet Delay. 2010 3rd International Conference on Information Sciences and Interaction Sciences (ICIS), Chengdu, 23-25 June 2010, 256-259.
https://doi.org/10.1109/ICICIS.2010.5534748
[14]
Schatz, R., et al. (2013) From Packets to People: Quality of Experience as a New Measurement Challenge. In: Biersack, E., Callegari, C. and Matijasevic, M., Eds., Data Traffic Monitoring and Analysis, Springer Berlin Heidelberg, 219-263.
https://doi.org/10.1007/978-3-642-36784-7_10
