DocumentCode :
3575372
Title :
Analysis of WMN-GA Simulation Results: Optimization of Number of Mesh Routers Considering Exponential and Weibull Distributions of Mesh Clients
Author :
Barolli, Admir ; Oda, Tetsuya ; Caballe, Santi ; Xhafa, Fatos ; Barolli, Leonard ; Takizawa, Makoto
Author_Institution :
Dept. of Adv. Sci., Hosei Univ., Koganei, Japan
fYear :
2014
Firstpage :
138
Lastpage :
144
Abstract :
In our previous work, we evaluated WMN-GA system which is based on Genetic Algorithms (GAs) to find an optimal location assignment for mesh routers. In this paper, we evaluate the performance of Exponential and Weibull distributions of mesh clients considering Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3, Hybrid Wireless Mesh Protocol (HWMP) and send multiple Constant Bit Rate (CBR) flows in the network. The simulation results show that for exponential distribution, when there are 16, 20 and 24 mesh routers in the network, the performance of PDR is higher. When the number of mesh routers is increased the number of hops increases and PDR decreases. Also for weibull distribution, when the number of mesh routers is increased the number of hops increases and PDR decreases. When there are 24 mesh routers in the network with 10 connections, the PDR is higher compared with other cases. For exponential distribution, the throughput is higher for small number of mesh routers and decreases with the increase of number of mesh routers. This happens because the number of hops is increased. On the other hand, for weibull distribution, when there are 20 connections, with the increase of the number of mesh routers the throughput is decreased much more than the case of exponential distribution. The delay is almost the same for both distributions.
Keywords :
Weibull distribution; exponential distribution; genetic algorithms; protocols; telecommunication network routing; wireless mesh networks; CBR; HWMP; PDR; WMN-GA simulation; Weibull distributions; constant bit rate; exponential distributions; genetic algorithms; hybrid wireless mesh protocol; mesh clients; mesh routers optimisation; packet delivery ratio; Artificial intelligence; Collaboration; Genetic Algorithms; HWMP; Wireless Mesh Networks; ns-3;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
Print_ISBN :
978-1-4799-6386-7
Type :
conf
DOI :
10.1109/INCoS.2014.46
Filename :
7057082
Link To Document :
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