Title :
Node Placement in WMNs Using WMN-GA System Considering Uniform and Normal Distribution of Mesh Clients
Author :
Oda, Tetsuya ; Sakamoto, Shinji ; Spaho, Evjola ; Barolli, Admir ; Barolli, Leonard ; Xhafa, Fatos
Author_Institution :
Grad. Sch. of Eng., Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
Abstract :
In this paper, we evaluate the performance of WMN-GA system for different settings of number of mesh clients. The population size is considered 64 and the number of generation 400. We considered Uniform and Normal distributions of mesh clients. For evaluation, we consider average size of giant component (Avg. SGC) and average number of covered mesh clients (Avg. NCMC) metrics. The simulation results shows that for both distributions, with the increase of the number of mesh routers, the number of covered mesh clients is increased. With the increase of the number of mesh clients, the percentage of Avg. NCMC is increased. Comparing the simulation results for both Uniform and Normal distributions, for number of mesh routers 16 to 64 the performance of Normal distribution is better compared with Uniform distribution, but for number of mesh routers 128 for both distributions the performance is very good.
Keywords :
genetic algorithms; normal distribution; telecommunication network routing; wireless mesh networks; WMN-GA system; covered mesh clients; genetic algorithms; giant component; mesh routers; node placement; normal distribution; uniform distribution; wireless mesh networks; Encoding; Gaussian distribution; Genetic algorithms; Simulation; Sociology; Statistics; Wireless communication; Connectivity; Coverage; Genetic Algorithms; Wireless Mesh Networks;
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on
Conference_Location :
Birmingham
Print_ISBN :
978-1-4799-4326-5
DOI :
10.1109/CISIS.2014.17