International Journal of Distributed Systems and Technologies, 3(3), 1-14, July-September 2012 1
Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Keywords: Crossover Operators, Genetic Algorithms, Mutation Operators, Number of Covered Users,
Size of Giant Component
Performance Evaluation of
WMN-GA Simulation System
for Different Settings of
Genetic Operators Considering
Giant Component and
Number of Covered Users
Admir Barolli, Seikei University, Japan
Makoto Takizawa, Seikei University, Japan
Tetsuya Oda, Fukuoka Institute of Technology, Japan
Evjola Spaho, Fukuoka Institute of Technology, Japan
Leonard Barolli, Fukuoka Institute of Technology, Japan
Kazunori Uchida, Fukuoka Institute of Technology, Japan
Fatos Xhafa, Technical University of Catalonia, Spain
ABSTRACT
In this paper, the authors propose and implement a system based on Genetic Algorithms (GAs) called WMN-
GA. They evaluated the performance of WMN-GA for 0.7 crossover rate and 0.3 mutation rate, exponential
ranking and different distribution of clients considering size of giant component and number of covered users
parameters. The simulation results show that for normal distribution the system has better performance. The
authors also carried out simulations for 0.8 crossover rate and 0.2 mutation rate. The simulation results show
that the setting for 0.7 crossover rate and 0.3 mutation rate offers better connectivity and user coverage.
DOI: 10.4018/jdst.2012070101