DocumentCode :
3508876
Title :
Performance Evaluation of WMN-GA for Wireless Mesh Networks Considering Mobile Mesh Clients
Author :
Oda, Tetsuya ; Sakamoto, Shinji ; Spaho, Evjola ; Ikeda, Makoto ; Xhafa, Fatos ; Barolli, Leonard
Author_Institution :
Grad. Sch. of Eng., Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
fYear :
2013
fDate :
9-11 Sept. 2013
Firstpage :
77
Lastpage :
84
Abstract :
Wireless Mesh Networks (WMNs) are important networking infrastructure for providing cost-efficient broadband wireless connectivity. Mesh router node placement is important to achieve network connectivity and coverage in such networks. In this paper, we implement and evaluate the performance of Genetic Algorithm (GA) for mesh router node placement in WMNs. We consider Exponential and Weibull distributions of mobile mesh clients. As evaluation metrics we used size of giant component and number of covered mesh clients. Simulation results show that WMN-GA have a good performance when mesh clients are mobile.
Keywords :
Weibull distribution; exponential distribution; genetic algorithms; performance evaluation; wireless mesh networks; WMN-GA; Weibull distributions; cost-efficient broad-band wireless connectivity; covered mesh clients; evaluation metrics; exponential distributions; genetic algorithm performance; mesh router node placement; mobile mesh clients; network connectivity; networking infrastructure; performance evaluation; wireless mesh networks; Artificial intelligence; Collaboration; Genetic Algorithms; Mobile Mesh Clients; Number of Mesh Clients; Size of Giant Component; Wireless Mesh Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2013 5th International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/INCoS.2013.50
Filename :
6630292
Link To Document :
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