Framework for mobility model detection based on local information

PENG Min; HONG Pei-lin; LU Han-cheng; XUE Kai-ping

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Framework for mobility model detection based on local information

更新时间：2024-10-14

- Framework for mobility model detection based on local information
- Vol. 31, Issue 11, Pages: 73-79(2010)
- 作者机构：
  
  中国科学技术大学电子工程与信息科学系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5
- Published：2010
- 稿件说明：
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PENG Min, HONG Pei-lin, LU Han-cheng, et al. Framework for mobility model detection based on local information[J]. 2010, 31(11): 73-79.
DOI：

PENG Min, HONG Pei-lin, LU Han-cheng, et al. Framework for mobility model detection based on local information[J]. 2010, 31(11): 73-79. DOI：

摘要

为了获取能够辅助路由决策的实时移动模型信息

提出了一种基于本地信息的移动模型检测框架。利用邻居发现机制获取本地连通性信息并生成连通性矩阵

在提取连通性矩阵中节点相对位置变化规律的基础上

实时地检测节点移动模型。仿真结果表明

该检测框架能在不依赖辅助设备的情况下达到较好的检测效果。

Abstract

In order to get the real-time mobility model information which could be exploited to assist routing decision

a framework for mobility model detection based on local information（FMDL） was proposed.In FMDL

each node collected the local information on connectivity through neighbor discovery mechanism and generated the connectivity matrix.The changing rule of relative position could be extracted from the connectivity matrix

and then the real-time mobility model was detected.The simulation results show that FMDL achieves high detection rate without any auxiliary equipment.

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Related Institution

Jiangsu Key Laboratory of Big Data Security ＆Intelligent Processing, Nanjing University of Posts and Telecommunications

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