On modeling JANUS packet errors over a shallow water acoustic channel using Markov and hidden Markov models

Autor:	Beatrice Tomasi, Lorenzo Finesso, Michele Zorzi, Paolo Casari, Giovanni Zappa, Kim McCoy
Rok vydání:	2010
Předmět:	symbols.namesake Markov chain Computer science Network packet Maximum-entropy Markov model Variable-order Markov model Speech recognition symbols Markov process Hidden semi-Markov model Hidden Markov model Markov model Algorithm
Zdroj:	MILCOM2010, pp. 2406–2411, San Josè (USA), 2010 info:cnr-pdr/source/autori:Tomasi B, Casari P, Finesso L, Zappa G, McCoy K and Zorzi M/congresso_nome:MILCOM2010/congresso_luogo:San Josè (USA)/congresso_data:2010/anno:2010/pagina_da:2406/pagina_a:2411/intervallo_pagine:2406–2411
DOI:	10.1109/milcom.2010.5680327
Popis:	In this paper, we investigate how to represent the packet error process in a shallow water acoustic channel by means of Markov as well as hidden Markov models. To train the models, we employ experimental traces taken from transmissions performed during the SubNet'09 sea trials, off the coast of Pi-anosa island, Italy. In particular, signal-to-noise ratio (SNR) time series show significant transitions of the average SNR on a large time scale, which motivates the use of hidden Markov models. The discussion on which model best fits this experimental data is carried out considering relevant metrics for networking, i.e., packet error rate (PER), length of error bursts and correlation of errors after a given number of packet transmissions. Results show that hidden Markov models yield accurate reproduction of both first and second-order metrics.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49541c9c3dc7955332a2a8fb6d30172f https://doi.org/10.1109/milcom.2010.5680327 Zobrazit plný text záznamu