Investigation of fitness function weight-coefficients for optimization in WMN-PSO simulation system
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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.
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CitationSakamoto, S., Oda, T., Ikeda, M., Barolli, L., Xhafa, F., Woungang, I. Investigation of fitness function weight-coefficients for optimization in WMN-PSO simulation system. A: International Conference on Complex, Intelligent, and Software Intensive Systems. "2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2016, Fukuoka Institute of Technology (FIT), Fukuoka, Japan 6-8 July 2016: proceedings". Fukuoka: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 224-229.