Characterization and Modeling of Packet Loss of a VoIP Communication
In this work, a characterization and modeling of
packet loss of a Voice over Internet Protocol (VoIP) communication
is developed. The distributions of the number of consecutive received
and lost packets (namely gap and burst) are modeled from the
transition probabilities of two-state and four-state model.
Measurements show that both models describe adequately the burst
distribution, but the decay of gap distribution for non-homogeneous
losses is better fit by the four-state model. The respective
probabilities of transition between states for each model were
estimated with a proposed algorithm from a set of monitored VoIP
calls in order to obtain representative minimum, maximum and
average values for both models.
[1] T. Tao, J. Lu, K. Gong, J. Gu. A four-states Markov model for burst
error analysis in satellite communications. International Conference on
Communication Technology .Vol. 1, pp. 930-934, August 2000.
[2] Wai-Ki Ching, Michael K. Ng. Markov Chains: Models, Algorithms and
Applications. Springer, 2006.
[3] G. George Yin, Qing Zhang. Discrete-Time Markov Models, Two-
Time-Scale Methods and Applications, pp. 24-28, Springer, 2005.
[4] Hyungkeun. Lee, Hyukjoon. Lee. A packet loss recovery scheme based
on the gap statistics. C. Kim (Ed.): ICOIN 2005, LNCS 3391, pp. 627-
634, 2005. Springer-Verlag Berlin Heidelberg, 2005.
[5] J. R. Yee, E. J. Weldon. Evaluation of the performance of error
correcting codes on a Gilbert channel. IEEE transactions on
Communications, Vol. 43 No. 8, 1995.
[6] H. Toral, D. Torres, C. Hernandez, L. Estrada. Self-similarity, packet
loss, jitter, and packet size: empirical relationships for VoIP. 18th
International Conference on Electronics, Communications and
Computers. CONIELECOMP, March 2008.
[7] L. Estrada, D. Torres, H.Toral, "Analytical Investigation of the
Performance of Packet-level FEC Techniques in VoIP
Communications", WSEAS Transactions on Communications, issue 9,
Vol. 8, 2009.
[1] T. Tao, J. Lu, K. Gong, J. Gu. A four-states Markov model for burst
error analysis in satellite communications. International Conference on
Communication Technology .Vol. 1, pp. 930-934, August 2000.
[2] Wai-Ki Ching, Michael K. Ng. Markov Chains: Models, Algorithms and
Applications. Springer, 2006.
[3] G. George Yin, Qing Zhang. Discrete-Time Markov Models, Two-
Time-Scale Methods and Applications, pp. 24-28, Springer, 2005.
[4] Hyungkeun. Lee, Hyukjoon. Lee. A packet loss recovery scheme based
on the gap statistics. C. Kim (Ed.): ICOIN 2005, LNCS 3391, pp. 627-
634, 2005. Springer-Verlag Berlin Heidelberg, 2005.
[5] J. R. Yee, E. J. Weldon. Evaluation of the performance of error
correcting codes on a Gilbert channel. IEEE transactions on
Communications, Vol. 43 No. 8, 1995.
[6] H. Toral, D. Torres, C. Hernandez, L. Estrada. Self-similarity, packet
loss, jitter, and packet size: empirical relationships for VoIP. 18th
International Conference on Electronics, Communications and
Computers. CONIELECOMP, March 2008.
[7] L. Estrada, D. Torres, H.Toral, "Analytical Investigation of the
Performance of Packet-level FEC Techniques in VoIP
Communications", WSEAS Transactions on Communications, issue 9,
Vol. 8, 2009.
@article{"International Journal of Electrical, Electronic and Communication Sciences:62824", author = "L. Estrada and D. Torres and H. Toral", title = "Characterization and Modeling of Packet Loss of a VoIP Communication", abstract = "In this work, a characterization and modeling of
packet loss of a Voice over Internet Protocol (VoIP) communication
is developed. The distributions of the number of consecutive received
and lost packets (namely gap and burst) are modeled from the
transition probabilities of two-state and four-state model.
Measurements show that both models describe adequately the burst
distribution, but the decay of gap distribution for non-homogeneous
losses is better fit by the four-state model. The respective
probabilities of transition between states for each model were
estimated with a proposed algorithm from a set of monitored VoIP
calls in order to obtain representative minimum, maximum and
average values for both models.", keywords = "Packet loss, gap and burst distribution, Markovchain, VoIP measurements.", volume = "4", number = "6", pages = "992-5", }