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Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Linearly Decreasing Inertia Weight and Linearly Decreasing Vmax Replacement Methods

机译:WMN-PSOHC-DGA模拟系统的性能分析考虑线性降低惯性重量和线性减少VMAX替换方法

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The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we analyze the performance of WMNs using WMN-PSOHC-DGA simulation system considering Linearly Decreasing Inertia Weight Method (LDIWM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achieved for LDIWM compared with the case of LDVM.
机译:无线网状网络(WMN)正成为一个重要的网络基础设施,因为它们具有低成本等优点,并且增加了高速无线互联网连接。在我们之前的工作中,我们实施了一种基于粒子群优化(PSO)和山坡的混合仿真系统,称为WMN-PSOHC,以及基于遗传算法(GA)的仿真系统,称为WMN-GA,用于求解节点在WMNS中放置问题。然后,我们实现了一种基于PSOHC和分布式GA(DGA)的混合仿真系统,称为WMN-PSOHC-DGA。在本文中,我们使用WMN-PSOHC-DGA仿真系统分析WMN的性能,考虑线性降低惯性方法(LDIWM)和线性降低的VMAX方法(LDVM)。仿真结果表明,与LDVM的情况相比,LDIWM实现了良好的性能。

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