DocumentCode :
607997
Title :
Node Placement in WMNs: Performance Evaluation of WMN-GA System for Weibull and Exponential Distribution of Mesh Clients
Author :
Oda, Tetsuya ; Spaho, Evjola ; Barolli, Admir ; Xhafa, Fatos ; Barolli, Leonard ; Takizawa, Makoto
Author_Institution :
Grad. Sch. of Eng., Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
fYear :
2013
fDate :
25-28 March 2013
Firstpage :
304
Lastpage :
310
Abstract :
In this paper, we evaluate the performance of WMN-GA system for different settings of number of mesh clients. We consider Weibull and Exponential distribution of mesh clients, which represent hotspot scenarios. The population size is considered 64 and the number of generation 400. 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. However, with the increase of the number of mesh clients, the percentage of Avg. NCMC is almost the same. Comparing the simulation results for both Exponential and Weibull distributions, in general the performance of both distributions is almost the same, but in some cases Exponential distribution performs better.
Keywords :
Weibull distribution; exponential distribution; genetic algorithms; wireless mesh networks; WMN-GA system; Weibull distribution; exponential distribution; hotspot scenario; mesh client; node placement; performance evaluation; wireless mesh network; Encoding; Exponential distribution; Genetic algorithms; Simulation; Sociology; Statistics; Weibull distribution; Connectivity; Coverage; Genetic Algorithms; Wireless Mesh Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on
Conference_Location :
Barcelona
ISSN :
1550-445X
Print_ISBN :
978-1-4673-5550-6
Electronic_ISBN :
1550-445X
Type :
conf
DOI :
10.1109/AINA.2013.91
Filename :
6531770
Link To Document :
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