Delay prediction in Mobile Ad Hoc Network using trapezoidal fuzzy numbers

The end-to-end packet delay in mobile ad hoc network depends on many influential variables such as path length from source to destination, average number of neighbours of intermediate hops, interference from other transmissions and medium access control protocol etc. Hence, accurate prediction of end-to-end packet delay is very difficult but necessary for Quality of Service (QoS) routing in Mobile Ad Hoc Network (MANET) environment. In this article, we have tried to evaluate the applicability and capability of fuzzy logic based model for prediction of end-to-end packet delay in mobile ad hoc network environment. We have used trapezoidal fuzzy numbers for this purpose in our study. The data set were generated by Network Simulator for three different mobility models namely (i) Manhattan Grid mobility model, (ii) Gauss Markov and (iii) Random way Point mobility model. The routing algorithm used is Ad hoc On Demand Distance Vector (AODV) routing. Through our experiments, we have found that trapezoidal fuzzy number based model gives a reasonably good prediction result in terms of various performance evaluation criterion.