Characterizing the topology dynamics in mobile ad hoc networks:modeling and analyzing techniques using the queuing theory

QIN Guang-cheng1; YANG Pan-long2; TIAN Chang2; CHEN Qiang3; YIN Hao3

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Characterizing the topology dynamics in mobile ad hoc networks:modeling and analyzing techniques using the queuing theory

更新时间：2024-10-14

- Characterizing the topology dynamics in mobile ad hoc networks:modeling and analyzing techniques using the queuing theory
- Vol. 32, Issue 4, Pages: 9-16(2011)
- 作者机构：
  
  1. 解放军理工大学通信工程学院研究生二队
  2. 解放军理工大学通信工程学院电信工程系
  3. 中国电子系统设备工程公司研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2011
- 稿件说明：
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QIN Guang-cheng1, YANG Pan-long2, TIAN Chang2, et al. Characterizing the topology dynamics in mobile ad hoc networks:modeling and analyzing techniques using the queuing theory[J]. 2011, 32(4): 9-16.
DOI：

QIN Guang-cheng1, YANG Pan-long2, TIAN Chang2, et al. Characterizing the topology dynamics in mobile ad hoc networks:modeling and analyzing techniques using the queuing theory[J]. 2011, 32(4): 9-16. DOI：

摘要

在定义网络动态特性链路断链率(link broken rate)的基础上

以链路断链的间隔时间期望度量链路断链率

并通过建立循环排队模型对链路动态特性进行了分析

得到了链路动态模型及其表达式。利用商用Qualnet平台进行仿真实验

验证了模型的正确性。进一步仿真实验结果表明

网络动态特性与网络链路断链率密切相关

通过链路变化率模型

能够有效地将运动速度

节点密度和传输距离结合起来

能够从本质上描述网络动态特性

为动态网络性能的分析与仿真提供理论依据。

Abstract

A new modeling parameter named link broken rate（LBR） was proposed so as to characterize the topology dy-namics.On the basis of the definition of the network dynamic characteristics parameter LBR

the expectations of the time interval between the links broken was use to measure the LBR

and a cyclic queuing model was created to analyze the characteristic of dynamic link and an analytic expression was derived.Employing the commercial simulation platform Qualnet

simulations were carried out and the model was reasonable evaluated.And the further simulation results show that

the network dynamic performance are highly related to the LBR

and the dynamic link model can integrate the mo-bility velocity

node density

and transmission range efficiently

which essentially characterize the network

and could provide theoretical results for analysis and simulation works on network dynamics.

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