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End-to-end packet-channel Bayesian model applied to heterogeneous wireless networks

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4 Author(s)
Iannello, G. ; Univ. Campus Bio-Medico de Roma, Rome, Italy ; Palmieri, F. ; Pescape, A. ; Salvo Rossi, P.

This paper proposes a source-traffic based model to estimate jointly packet losses and delays statistical behavior of a network path. The approach relies on a hidden Markov model built on real-traffic information. The effectiveness of the model is evaluated over different real heterogeneous network scenarios. Our experimental results show that the model captures average (long-term) and conditional (short-term) statistics that in most cases are typical of the single scenario. Preliminary results about prediction on a sample path as well as investigation on the use of the same model across different scenarios are given.

Published in:

Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE  (Volume:1 )

Date of Conference:

2-2 Dec. 2005