Interface and results visualization of WMN-GA simulation system: evaluation for exponential and Weibull distributions considering different transmission rates

Barolli, Admir; Loia, Vincenzo; Oda, Tetsuya; Barolli, Leonard; Xhafa Xhafa, Fatos; Takizawa, Makoto

doi:10.1016/j.csi.2015.04.003

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Takizawa, Makoto

Document typeArticle

Defense date2016-02-01

PublisherElsevier

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

Abstract

In this paper, we present the interface and data visualization of a simulation system for Wireless Mesh Networks (WMNs), which is based on Genetic Algorithms (GAs). We call this system WMN-GA. As evaluation parameters, we consider Packet Delivery Ratio (PDR), throughput and delay metrics. For simulations, we used ns-3 simulator and Hybrid Wireless Mesh Protocol (HWMP). From simulation results, we found that PDR for Weibull distribution is higher than Exponential distribution. But, the throughput of Exponential distribution is higher than Weibull distribution. The delay of Exponential distribution is smaller than Weibull distribution.

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This is a copy of the author 's final draft version of an article published in the journal Computer standards & interfaces. The final publication is available at Springer via http://dx.doi.org/10.1016/j.csi.2015.04.003

CitationBarolli, A., Loia, V., Oda, T., Barolli, L., Xhafa, F., Takizawa, M. Interface and results visualization of WMN-GA simulation system: evaluation for exponential and Weibull distributions considering different transmission rates. "Computer Standards & Interfaces", 01 Febrer 2016, vol. 44, p. 150-158.

URIhttp://hdl.handle.net/2117/82226

DOI10.1016/j.csi.2015.04.003

ISSN0920-5489

Publisher versionhttp://www.sciencedirect.com/science/article/pii/S0920548915000434

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Departament de Ciències de la Computació - Articles de revista [1.148]

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