A GA-Based Simulation System for WMNs: Performance Analysis for Different WMN Architectures Considering TCP and OLSR Protocols

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 implemented WMN-GA 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 and energy metrics. For simulations, we used ns-3, Optimized Link State Routing (OLSR) and TCP. We compare the performance for normal and uniform distributions of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that the PDR is almost the same for both distributions and architecture. However, the throughput is better for normal distribution and Hybrid WMN architecture. For both distributions, the delay is better for Hybrid WMN architecture. But, the energy is better for uniform distribution.