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Photonic Network Communications
Erschienen in: Photonic Network Communications 2/2018

18.11.2017 | Original Paper

Loss estimation and control mechanism in bufferless optical packet-switched networks based on multilayer perceptron

verfasst von: Masoud Asghari, Jamshid Bagherzadeh, Saleh Yousefi

Erschienen in: Photonic Network Communications | Ausgabe 2/2018

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Abstract

Artificial neural networks (ANNs) are well-known estimators for the output of broad range of complex systems and functions. In this paper, a common ANN architecture called multilayer perceptron (MLP) is used as a fast optical packet loss rate (OPLR) estimator for bufferless optical packet-switched (OPS) networks. Considering average loads at the ingress switches of an OPS network, the proposed estimator estimates total OPLR as well as ingress OPLRs (the OPLR of optical packets sent from individual ingress switches). Moreover, a traffic policing algorithm called OPLRC is proposed to control ingress OPLRs in bufferless slotted OPS networks with asymmetric loads. OPLRC is a centralized greedy algorithm which uses estimated ingress OPLRs of a trained MLP to tag some optical packets at the ingress switches as eligible for drop at the core switches in case of contention. This will control ingress OPLRs of un-tagged optical packets within the specified limits while giving some chance for tagged optical packets to reach their destinations. Eventually, the accuracy of the proposed estimator along with the performance of the proposed algorithm is evaluated by extensive simulations. In terms of the algorithm, the results show that OPLRC is capable of controlling ingress OPLRs of un-tagged optical packets with an acceptable accuracy.
Vorheriger Artikel MIMO-enabled integrated MGDM–WDM distributed antenna system architecture based on plastic optical fibers for millimeter-wave communication

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Metadaten
Titel
Loss estimation and control mechanism in bufferless optical packet-switched networks based on multilayer perceptron
verfasst von
Masoud Asghari
Jamshid Bagherzadeh
Saleh Yousefi
Publikationsdatum
18.11.2017
Verlag
Springer US
Erschienen in
Photonic Network Communications / Ausgabe 2/2018
Print ISSN: 1387-974X
Elektronische ISSN: 1572-8188
DOI
https://doi.org/10.1007/s11107-017-0743-7

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