首页> 外文期刊>International Journal of Computer Networks & Communications >Response Surface Methodology for Performance Analysis and Modeling of MANET Routing Protocols
【24h】

Response Surface Methodology for Performance Analysis and Modeling of MANET Routing Protocols

机译:MANET路由协议性能分析和建模的响应面方法

获取原文
           

摘要

Numerous studies have analyzed the performances of routing protocols in mobile Ad-hoc networks(MANETs); most of these studies vary at most one or two parameters in experiments and do not study theinteractions among these parameters. Furthermore, efficient mathematical modeling of the performanceshas not been investigated; such models can be useful for performance analysis, optimization, andprediction. This study aims to show the effectiveness of the response surface methodology (RSM) on theperformance analysis of routing protocols in MANETs and establish a relationship between the influentialparameters and these performances through mathematical modeling. Given that routing performancesusually do not follow a linear pattern according to the parameters; mathematical models of factorialdesigns are not suitable for establishing a valid and reliable relationship between performances andparameters. Therefore, a Box–Behnken design, which is an RSM technique and provides quadraticmathematical models, is used in this study to establish a relationship. The obtained models are statisticallyanalyzed; the models show that the studied performances accurately follow a quadratic evolution. Thesemodels provide invaluable information and can be useful in analyzing, optimizing, and predictingperformances for mobile Ad-hoc routing protocols.
机译:许多研究已经分析了移动自组织网络(MANET)中路由协议的性能。这些研究中的大多数在实验中最多改变一个或两个参数,并且不研究这些参数之间的相互作用。此外,尚未研究有效的性能数学模型;这样的模型对于性能分析,优化和预测很有用。这项研究旨在证明响应面方法论(RSM)对MANET中路由协议性能分析的有效性,并通过数学建模建立影响参数与这些性能之间的关系。鉴于路由性能通常不会根据参数遵循线性模式;析因设计的数学模型不适合在性能和参数之间建立有效和可靠的关系。因此,本研究使用Box-Behnken设计(这是一种RSM技术,提供二次数学模型)来建立关系。对获得的模型进行统计分析;模型表明,所研究的性能准确地遵循二次方演化。这些模型提供了宝贵的信息,可用于分析,优化和预测移动Ad-hoc路由协议的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号