DTN网络中基于生灭模型的节点运动模式检测

邓广宏; 曹万华; 张剑; 程雄; 冯力

doi:10.11959/j.issn.1000-436x.2015007

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DTN网络中基于生灭模型的节点运动模式检测

学术论文 | 更新时间：2024-06-05

- DTN网络中基于生灭模型的节点运动模式检测
- Mobility model detection method based on birth and death model in DTN environment
- 通信学报 2015年36卷第1期页码：57-67
- 作者机构：
  
  1. 哈尔滨工程大学计算机科学与技术学院，黑龙江哈尔滨 150001
  2. 武汉数字工程研究所系统科研部，湖北武汉 430074
- 作者简介：
  
  [ "邓广宏（1981-），男，湖北钟祥人，哈尔滨工程大学博士生，主要研究方向为移动传感器网络、机会网络、网络编码等。" ]
  [ "曹万华（1966-），男，江苏金坛人，哈尔滨工程大学博士生导师，武汉数字工程研究所副所长、研究员，主要研究方向为综合电子信息系统、指控系统、通信网络等。" ]
  [ "张剑（1979-），男，湖北宜昌人，博士，武汉数字工程研究所高级工程师，主要研究方向为无线网络、频谱规划等。" ]
  [ "程雄（1980-），男，湖北咸宁人，硕士，武汉数字工程研究所高级工程师，主要研究方向为移动传感器网络、信息安全等。" ]
  [ "冯力（1974-），男，四川广元人，博士，武汉数字工程研究所高级工程师，主要研究方向为信息安全、无线网络等。" ]
- 基金信息：
  
  国防预研基金资助项目(4010105010103);国防预研基金资助项目(62101050101);国防预研基金资助项目(513150802);国防预研基金资助项目(B0820132036);船舶基金资助项目(09J3.4.1);船舶基金资助项目(10J3.7.2)
- DOI：10.11959/j.issn.1000-436x.2015007
  中图分类号： TN919.3
- 网络首发：2015-01，
  
  纸质出版：2015-01-25
- 稿件说明：
移动端阅览
邓广宏, 曹万华, 张剑, 等. DTN网络中基于生灭模型的节点运动模式检测[J]. 通信学报, 2015,36(1):57-67.

ENGGuang-hong D, AOWan-hua C, HANGJian Z, et al. Mobility model detection method based on birth and death model in DTN environment[J]. Journal on Communications, 2015, 36(1): 57-67.
邓广宏, 曹万华, 张剑, 等. DTN网络中基于生灭模型的节点运动模式检测[J]. 通信学报, 2015,36(1):57-67. DOI： 10.11959/j.issn.1000-436x.2015007.

ENGGuang-hong D, AOWan-hua C, HANGJian Z, et al. Mobility model detection method based on birth and death model in DTN environment[J]. Journal on Communications, 2015, 36(1): 57-67. DOI： 10.11959/j.issn.1000-436x.2015007.

摘要

提出了一种 DTN 网络中基method based on birth and death model)。在节点数据传输过程中，根据数据传输量计算得到各个连通链路采样时刻于生灭模型的节点运动模式检测方法(MMD-BDM

mobility model detection的信道容量，在本节点构建以信道容量构成的三维时变连通矩阵，并在此基础上推导出基于边连通的节点连通性由转发策略。最后，将该运动模式检测方法应用在喷射路由(SWR

spray and wait routing)和随机网络编码路由生灭模型，然后分析节点连通边的生灭特征并以此判断节点的运动模式，以优化 DTN 网络消息投递过程中的路(RNCR

random network coding routing)算递率和投递延迟等数据投递性能。法中进行了仿真实验，实验表明，该方法能提高DTN网络机会路由的投

Abstract

A mobility model detection method based on birth and death model (MMD-BDM) in DTN environment was proposed.It first computed the connected channel capacity of sampling times according to the data traffic during the data transfer process

and then constructed the time varying intercommunication metrics at local

which composed of channel capacity between local node and others.Based on these

the connection birth and death mode of nodes based on connected edges was deduced

and then the birth and death features of the connected nodes was analyzed to detect the mobility model

which used to improve the routing strategy during the packages deliver process.Ultimately

the mobility model detection method was put into use in spray and wait routing (SWR) method and random network coding routing (RNCR) method to experiment

the simulation results show that

it can improve the opportunity routing performance of the data deliver rate and transfer latency in DTN environment.

关键词

Keywords

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