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

Abstract

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 exponential 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 exponential 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 I/B WMN is higher than Hybrid architecture. However, for OLSR the throughput of Hybrid WMN is higher than I/B architecture. For HWMP, the delay and jitter of I/B WMN is a lower compared with Hybrid WMN. But for OLSR, the delay and jitter of Hybrid WMN is a lower than I/B WMN. For both protocols, the remaining energy of Hybrid WMN is higher than I/B WMN.