Investigation of Fitness Function Weight-Coefficients for Optimization in WMN-PSO Simulation System

Shinji Sakamoto, Tetsuya Oda, Makoto Ikeda, L. Barolli, F. Xhafa, I. Woungang
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引用次数: 5

Abstract

With the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a simulation system based on Particle Swam Optimization for solving node placement problem in wireless mesh networks, called WMN-PSO. In this paper, we use Size of Giant Component (SGC) and Number of Covered Mesh Clients (NCMC) as metrics for optimization. Then, we analyze effects of weight-coefficients for SGC and NCMC. From the simulation results, we found that the best values of the weight-coefficients for SGC and NCMC are 0.7 and 0.3, respectively.
WMN-PSO仿真系统中适应度函数权系数优化研究
随着无线技术的快速发展,无线网状网络(WMNs)以其低廉的成本和高速的无线网络连接能力成为一种重要的网络基础设施。在我们之前的工作中,我们实现了一个基于粒子游优化的仿真系统来解决无线网状网络中的节点放置问题,称为WMN-PSO。在本文中,我们使用巨型组件大小(SGC)和覆盖网格客户端数量(NCMC)作为优化指标。然后分析了权重系数对SGC和NCMC的影响。从模拟结果来看,SGC和NCMC的最佳权重系数分别为0.7和0.3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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