Performance Analysis of a Genetic Algorithm Based System for Wireless Mesh Networks Considering Weibull Distribution, DCF and EDCA

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 this paper, we evaluate the performance of two WMN architectures considering throughput, delay, jitter and fairness index metrics. For simulations, we used ns-3 and Optimized Link State Routing (OLSR). We compare the performance of Distributed Coordination Function (DCF) and Enhanced Distributed Channel Access (EDCA) for Weibull distribution of mesh clients by sending multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for I/B WMN, the throughput of both MAC protocols is higher than Hybrid WMN. The delay and jitter of both architectures are almost the same. However, for 10 flows, the delay and jitter of I/B WMN is a lower compared with Hybrid WMN. The fairness index is a almost the same for both WMN architectures.