Performance analysis of a genetic algorithm based system for wireless mesh networks considering exponential and weibull distributions, DCF and EDCA, and different number of flows

In this paper, we evaluate the performance of two WMN architectures (infrastructure/backbone WMNs (I/B WMNs) and Hybrid WMN architectures) considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and optimized link state routing. We compare the performance of distributed coordination function and enhanced distributed channel access (EDCA) for exponential and Weibull distributions of mesh clients by sending multiple constant bit rate flows in the network. The simulation results show that for exponential distribution, in case of Hybrid WMN, the throughput of both MAC protocols is higher than I/B WMN. For 30 flows, the throughput of EDCA in case of hybrid WMN is about 1.4 times higher than I/B WMN. For Weibull distribution, in case of I/B WMN, the throughput of both MAC protocols is higher than Hybrid WMN. For 30 flows, the throughput of EDCA in case of I/B WMN is about 2.6 times higher than Hybrid WMN. For exponential distribution, the delay and jitter of Hybrid WMN are lower than I/B WMN. For 20 flows, the delay of EDCA in case of hybrid WMN is about 10 times lower than I/B WMN. For Weibull distribution, the delay and jitter of both architectures are almost the same. However, for 10 flows, the delay of I/B WMN is lower compared with hybrid WMN. For exponential distribution, the fairness index of I/B WMN is a little bit higher than hybrid WMN. For Weibull distribution, the fairness index is almost the same for both WMN architectures.