QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks
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QoS evaluation model based on intelligent fuzzy system for vehicular ad hoc networks Abir Mchergui1 · Tarek Moulahi2,3
· Salem Nasri4
Received: 5 December 2019 / Accepted: 4 May 2020 © Springer-Verlag GmbH Austria, part of Springer Nature 2020
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. Keywords VANET · QoS · Fuzzy model · Broadcasting · Vehicle-to-vehicle communication Mathematics Subject Classification 03B52 · 03E72 · 05C72 · 06D72 · 08A72 · 15B15 · 20N25 · 26E50 · 28E10 · 46S40 · 47S40 · 90C70 · 93C42 · 94D05
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Tarek Moulahi [email protected] Abir Mchergui [email protected]
1
CES.Lab, LR11ES49, 3038, Sfax University, Sfax, Tunisia
2
Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia
3
FSTSB, University of Kairoaun, Kairouan, Tunisia
4
ENIM: Ecole Nationale d’ingénieurs de Monastir, Monastir, Tunisia
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1 Introduction VANET is a sub-category of Mobile Ad-hoc NETworks (MANET) with mobile and fixed nodes which are respectively smart vehicles and road side units (RSU). Following roads architecture and traffic rules, vehicular nodes movement is more regular and expectable than MANET nodes [1]. Those nodes are provided with communications inside the VANET connecting vehicles and RSUs that are governed by the same wireless technologies (IEEE 802.11p) and standards (DSRC) [2]. These standards offer close proximity vehicles and nearby roadside units inter-communications allowing them to exchange traffic information, safety warning alerts, and multimedia contents. VANETs are expected to reduce road accidents, solve traffic problems by providing driver assistance, and making passenger’s journey more comfortable [3]. To achieve these goals, VANET uses a wide range of services and applications at different levels of communication and specific requirements. The widespread use of VANET services urges the need to achieve QoS for this category of networks. Many specifications and modelling, expressed with specific parameters, have been developed to assess MANET and other ne
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