Performance evaluation of WMN-GA for different mutation and crossover rates considering number of covered users parameter

Authors:
Tetsuya Oda;Admir Barolli;Fatos Xhafa;Leonard Barolli;Makoto Ikeda;Makoto Takizawa
Affiliations:
Graduate School of Engineering, Fukuoka Institute of Technology FIT, Higashi-Ku, Fukuoka, Japan;Department of Computers and Information Science, Seikei University, Musashino-Shi, Tokyo, Japan;Department of Languages and Informatics Systems, Technical University of Catalonia, Barcelona, Spain;Department of Information and Communication Engineering, Fukuoka Institute of Technology FIT, Higashi-Ku, Fukuoka, Japan;Department of Information and Communication Engineering, Fukuoka Institute of Technology FIT, Higashi-Ku, Fukuoka, Japan;Department of Computers and Information Science, Seikei University, Musashino-Shi, Tokyo, Japan
Venue:
Mobile Information Systems
Year:
2012

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Abstract

Node placement problems have been long investigated in the optimization field due to numerous applications in location science and classification. Facility location problems are showing their usefulness to communication networks, and more especially from Wireless Mesh Networks WMNs field. Recently, such problems are showing their usefulness to communication networks, where facilities could be servers or routers offering connectivity services to clients. In this paper, we deal with the effect of mutation and crossover operators in GA for node placement problem. We evaluate the performance of the proposed system using different selection operators and different distributions of router nodes considering number of covered users parameter. The simulation results show that for Linear and Exponential ranking methods, the system has a good performance for all rates of crossover and mutation.