Performance Analysis of WMNs by WMN-GA Simulation System for Different WMN Architectures and TCP Congestion-Avoidance Algorithms Considering Exponential and Weibull Distributions

Abstract

In this paper, we evaluate the performance of two Wireless Mesh Networks (WMNs) architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3, Distributed Coordination Function (DCF) and Optimized Link State Routing (OLSR). We compare the performance of Transmission Control Protocol (TCP) Tahoe, Reno and NewReno for Weibull distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN in Weibull distribution is a little bit higher than exponential distribution. For both WMN architectures, the throughput of Weibull distribution is better than exponential distribution. The delay of TCP Tahoe is a little bit lower compared with other algorithms in both distributions. For I/B WMN architecture, the fairness index of exponential distribution is a little bit higher than Weibull distribution. However, for Hybrid WMN, the fairness index of Weibull distribution is higher than exponential distribution.