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

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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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Authors and Affiliations

  1. CES.Lab, LR11ES49, 3038, Sfax University, Sfax, Tunisia

    Abir Mchergui

  2. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia

    Tarek Moulahi

  3. FSTSB, University of Kairoaun, Kairouan, Tunisia

    Tarek Moulahi

  4. ENIM: Ecole Nationale d’ingénieurs de Monastir, Monastir, Tunisia

    Salem Nasri

Authors
  1. Abir Mchergui
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  2. Tarek Moulahi
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  3. Salem Nasri
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Correspondence to Tarek Moulahi.

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Mchergui, A., Moulahi, T. & Nasri, S. QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks. Computing 102, 2501–2520 (2020). https://doi.org/10.1007/s00607-020-00820-x

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