Performance Analysis of WMN-GA Simulation System for Different WMN Architectures and Routing Protocols Considering Weibull Distribution

Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers. Node placement problems have been investigated for a long time in the optimization field due to numerous applications in location science. In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of Weibull distribution of mesh clients for two WMN architectures considering throughput, delay, jitter and energy metrics. For simulations, we used ns-3, Optimized Link State Routing (OLSR) and Hybrid Wireless Mesh Protocols (HWMP). We evaluate the performance for Weibull distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for HWMP, the throughput of Hybrid WMN is higher than I/B architecture. However, for OLSR the throughput is almost the same for both WMN architectures. For HWMP, the delay of I/B WMN is a lower compared with Hybrid WMN. But for OLSR, the delay of Hybrid WMN is a little bit lower than I/B WMN. For both protocols, the jitter of Hybrid WMN is a little bit lower than I/B WMN. For both protocols, the energy decrease almost the same for both WMN architectures.