期刊文献+

基于Python的DTN仿真平台 被引量:8

Simulation of DTN Platform Based on Python
下载PDF
导出
摘要 延迟容忍网络(DTN,Delay Tolerant Networks)是一种新型移动自组织(MANET,Mobile Ad-hoc NETworks)网络,通过"存储-携带-转发"的路由模型实现不存在完整通信链路节点间的通信,对物联网和普适计算有重要意义。由于DTN网络的特殊通信模式导致传统基于TCP/IP体系结构的网络协议无法直接应用于DTN网络,因此现有多数网络仿真器不能直接仿真DTN网络。ONE是一款基于Java的DTN网络仿真器,但是不能提供完整的数据统计分析模块。鉴于Python拥有强大的数据统计分析库和仿真库,设计一个基于Python的DTN网络仿真平台。该平台集成了Python离散事件仿真库SimPy,科学计算库NumPy、SciPy和SymPy,以及图形库PyViz和Matplotlib,为DTN网络仿真提供了完整的仿真平台,包括网络仿真、场景可视化和数据统计分析等功能。 DTN( Delay Tolerant Networks) is a new type of MANET( Mobile Ad hoc NETwork). It can implement the communications between source node and destination node by the "store-carry- forward" routing model, even if there is no complete link between two nodes. So, DTN has important significance for Internet of Things(IoT)and ubiquitous computing. The special communication mode of DTN results that the traditional network protocol based on TCP/IP architecture cannot be directlyapplied to DTN, so most of the existing network simulators cannot directly simulate DTN. ONE written by Java is a networksimulator for DTN, but it cannot provide a complete module of statistic and analysis. In view of Python has a strong statistic,analysis and simulation library, a Python-based network simulation platform for DTN was designed in this paper. The platformintegrates a discrete event simulation library, SimPy, three scientific computing libraries, i.e. NumPy, SciPy and SymPy, two graphics libraries, namely PyViz and Matplotlib. It provides a complete simulation platform for DTN, including the functions of network simulation, visualization, statistic and analysis.
作者 姚建盛 刘艳玲 李淑梅 YAO Jian-sheng;LIU Yan-ling;LI Shu-mei(College of Computer Science, Jilin Normal University, Siping 136000, China;College of Computer Science and Technology,Harbin Engineering University, Harbin 150001, China)
出处 《新型工业化》 2016年第9期42-45,共4页 The Journal of New Industrialization
基金 吉林师范大学高等教育教学研究重点课题:O2O模式在计算机专业教学中的研究与应用
关键词 DTN 仿真 PYTHON DTN Simulation Python
  • 相关文献

参考文献2

二级参考文献15

共引文献60

同被引文献49

引证文献8

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部