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

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.