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Computing
Erschienen in: Computing 12/2020

19.05.2020 | Regular Paper

QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks

verfasst von: Abir Mchergui, Tarek Moulahi, Salem Nasri

Erschienen in: Computing | Ausgabe 12/2020

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Abstract

Supporting the Quality of Service (QoS) for broadcasting techniques in Vehicular Ad hoc NETetworks (VANETs) is a primordial concern. Qualitatively, QoS is an aspect reflecting the network performance, but quantitatively, it is a function of multiple parameters such as end-to-end delay, packet loss ratio and overhead. These parameters are changing over time and according to adopted protocols. Therefore, it is very difficult to estimate with a crisp value the system QoS. Besides, there is a lack of technical tools for modelling, measuring and comparing the level of QoS performed by different broadcasting protocols under different network constraints. This paper proposes FUZZYVAN-QoS a holistic model based on a fuzzy system simplifying this problem and going through discussing its dependency on different Vehicular Ad hoc NETtwork (VANET) services and applications types. Then, we use a case study; applied on multiple VANET broadcasting protocols, to illustrate the effectiveness of the proposed model.
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Metadaten
Titel
QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks
verfasst von
Abir Mchergui
Tarek Moulahi
Salem Nasri
Publikationsdatum
19.05.2020
Verlag
Springer Vienna
Erschienen in
Computing / Ausgabe 12/2020
Print ISSN: 0010-485X
Elektronische ISSN: 1436-5057
DOI
https://doi.org/10.1007/s00607-020-00820-x

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