DocumentCode
262425
Title
WMN-GA for Node Placement in WMN: Evaluation and Visualization Using HotSpot Ad-Hoc Method
Author
Barolli, Admir ; Oda, Tetsuya ; Spaho, Evjola ; Barolli, Leonard ; Xhafa, Fatos ; Takizawa, Makoto
Author_Institution
Fukuoka Inst. of Technol. (FIT), Fukuoka, Japan
fYear
2014
fDate
2-4 July 2014
Firstpage
23
Lastpage
29
Abstract
In this work, we evaluate the performance of WMN-GA system for node placement in WMNs. For evaluation, we consider Exponential and Weibull distributions of mesh clients and HotSpot initial placement method. The population size is considered 64 and the number of generation 200. For evaluation, we consider the giant component and the number of covered users metrics. We also show the visualization process of mesh router placement for different number of generations. The simulation results shows that for Weibull distribution, mesh clients are concentrated at the bottom of the grid size and HotSpot method finds a better positioning of mesh clients compared with Exponential distribution.
Keywords
Weibull distribution; exponential distribution; genetic algorithms; wireless mesh networks; HotSpot ad-hoc method; WMN-GA; Weibull distributions; exponential distributions; genetic algorithms; mesh clients; mesh router placement; node placement; wireless mesh networks; Exponential distribution; Genetic algorithms; Network topology; Simulation; Sociology; Statistics; Weibull distribution; Connectivity; Coverage; GAs; WMNs;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on
Conference_Location
Birmingham
Print_ISBN
978-1-4799-4326-5
Type
conf
DOI
10.1109/CISIS.2014.4
Filename
6915492
Link To Document