A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering Exponential Distribution, HWMP and TCP Protocols

In our previous work, we implemented WMNGA system which is based on Genetic Algorithms (GAs) and used it for node placement problem in WMNs. In this paper, we evaluate the performance of two different distributions of mesh clients for two WMN architectures considering PDR, throughput, delay, fairness index and energy metrics. For simulations, we used ns-3, Hybrid Wireless Mesh Protocol (HWMP) and TCP. We compare the performance of both architectures for exponential distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR for both WMN architectures is almost the same. The throughput of I/B WMN is higher than Hybrid WMN. The delay of I/B WMN is lower than Hybrid WMN. The fairness index of Hybrid WMN is higher than I/B WMN. For I/B WMN architecture, the energy decreases faster than Hybrid WMN.