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" alt="" />

如图所示要实现n0到n5的TCP通信

每个链路之间的带宽都是100Mbps

/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License version 2 as
* published by the Free Software Foundation;
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/ #include "ns3/core-module.h"
#include "ns3/network-module.h"
#include "ns3/internet-module.h"
#include "ns3/point-to-point-module.h"
#include "ns3/applications-module.h" using namespace ns3; NS_LOG_COMPONENT_DEFINE ("BottleNeckTcpScriptExample"); int
main (int argc, char *argv[])
{
Time::SetResolution (Time::NS);
LogComponentEnable ("UdpEchoClientApplication", LOG_LEVEL_INFO);
LogComponentEnable ("UdpEchoServerApplication", LOG_LEVEL_INFO); LogComponentEnable ("BottleNeckTcpScriptExample", LOG_LEVEL_INFO);
// LogComponentEnable ("TcpL4Protocol", LOG_LEVEL_INFO);
LogComponentEnable ("PacketSink", LOG_LEVEL_ALL);
//LogComponentEnable ("OnOff", LOG_LEVEL_ALL); NodeContainer nodes;
nodes.Create (); NodeContainer n0n1 = NodeContainer(nodes.Get(),nodes.Get());
NodeContainer n1n2 = NodeContainer(nodes.Get(),nodes.Get());
NodeContainer n1n3 = NodeContainer(nodes.Get(),nodes.Get());
NodeContainer n3n4 = NodeContainer(nodes.Get(),nodes.Get());
NodeContainer n3n5 = NodeContainer(nodes.Get(),nodes.Get()); InternetStackHelper internet;
internet.Install(nodes); PointToPointHelper p2p;
p2p.SetDeviceAttribute("DataRate",StringValue("100Mbps"));
p2p.SetChannelAttribute("Delay",StringValue("2ms")); NetDeviceContainer nets;
NetDeviceContainer d0d1 =p2p.Install(n0n1);
NetDeviceContainer d1d2 =p2p.Install(n1n2);
NetDeviceContainer d1d3 =p2p.Install(n1n3);
NetDeviceContainer d3d4 =p2p.Install(n3n4);
NetDeviceContainer d3d5 =p2p.Install(n3n5); Ipv4AddressHelper ipv4;
ipv4.SetBase("10.1.1.0","255.255.255.0");
Ipv4InterfaceContainer i0i1 = ipv4.Assign(d0d1); ipv4.SetBase("10.1.2.0","255.255.255.0");
ipv4.Assign(d1d2); ipv4.SetBase("10.1.3.0","255.255.255.0");
ipv4.Assign(d1d3); ipv4.SetBase("10.1.4.0","255.255.255.0");
ipv4.Assign(d3d4); ipv4.SetBase("10.1.5.0","255.255.255.0");
ipv4.Assign(d3d5);
Ipv4InterfaceContainer i3i5 = ipv4.Assign(d3d5); uint16_t port = ;
ApplicationContainer sinkApp;
Address sinkLocalAddress (InetSocketAddress (Ipv4Address::GetAny (), port));
PacketSinkHelper sinkHelper ("ns3::TcpSocketFactory", sinkLocalAddress);
sinkApp.Add(sinkHelper.Install(nodes.Get()));
sinkApp.Start (Seconds (0.0));
sinkApp.Stop (Seconds (10.0)); OnOffHelper clientHelper ("ns3::TcpSocketFactory", Address ());
clientHelper.SetAttribute ("OnTime", StringValue ("ns3::ConstantRandomVariable[Constant=1]"));
clientHelper.SetAttribute ("OffTime", StringValue ("ns3::ConstantRandomVariable[Constant=0]")); ApplicationContainer clientApps;
AddressValue remoteAddress(InetSocketAddress (i0i1.GetAddress (), port));
clientHelper.SetAttribute("Remote",remoteAddress);
clientApps.Add(clientHelper.Install(nodes.Get())); clientApps.Start(Seconds(1.0));
clientApps.Stop (Seconds (10.0)); Ipv4GlobalRoutingHelper::PopulateRoutingTables ();
//嗅探,记录所有节点相关的数据包 Simulator::Run ();
Simulator::Destroy ();
return ;
}

1.首先针对拓扑的构造,对于这个拓扑构造个人觉得还是相对比较容易,通过对网上一些例子的理解,以及对上次myfirst.cc的理解

可参考 简单ns-3点对点网络的构造

  NodeContainer nodes;
nodes.Create (6); NodeContainer n0n1 = NodeContainer(nodes.Get(0),nodes.Get(1));
NodeContainer n1n2 = NodeContainer(nodes.Get(1),nodes.Get(2));
NodeContainer n1n3 = NodeContainer(nodes.Get(1),nodes.Get(3));
NodeContainer n3n4 = NodeContainer(nodes.Get(3),nodes.Get(4));
NodeContainer n3n5 = NodeContainer(nodes.Get(3),nodes.Get(5)); InternetStackHelper internet;
internet.Install(nodes); PointToPointHelper p2p;
p2p.SetDeviceAttribute("DataRate",StringValue("100Mbps"));
p2p.SetChannelAttribute("Delay",StringValue("2ms")); NetDeviceContainer nets;
NetDeviceContainer d0d1 =p2p.Install(n0n1);
NetDeviceContainer d1d2 =p2p.Install(n1n2);
NetDeviceContainer d1d3 =p2p.Install(n1n3);
NetDeviceContainer d3d4 =p2p.Install(n3n4);
NetDeviceContainer d3d5 =p2p.Install(n3n5); Ipv4AddressHelper ipv4;
ipv4.SetBase("10.1.1.0","255.255.255.0");
Ipv4InterfaceContainer i0i1 = ipv4.Assign(d0d1); ipv4.SetBase("10.1.2.0","255.255.255.0");
ipv4.Assign(d1d2); ipv4.SetBase("10.1.3.0","255.255.255.0");
ipv4.Assign(d1d3); ipv4.SetBase("10.1.4.0","255.255.255.0");
ipv4.Assign(d3d4); ipv4.SetBase("10.1.5.0","255.255.255.0");
ipv4.Assign(d3d5);
Ipv4InterfaceContainer i3i5 = ipv4.Assign(d3d5);

我的拓扑构建如上面所示,每两个点之间建立点对点链路,数据率100Mbps,信道传输延迟为2ms,然后对每一个网卡(设备),分配IP地址。

这个时候就有一个疑惑,网卡能分配两个以上的IP地址吗,就如上面的节点d1他被分配了10.1.1.2,又被分配了10.1.2.1的IP地址,这时候就想一个网卡能被分配两个以上的IP地址吗,(网络没学好。。) 答案是可以的。

然后再通过Ipv4InterfaceContainer获得等下我们所需的0号节点和5号节点的IP地址,进行TCP连接。

2.接下来是为0号节点装入TCP的sever,为5号节点安装tcp的client的application

  uint16_t port = 50000;
ApplicationContainer sinkApp;
Address sinkLocalAddress (InetSocketAddress (Ipv4Address::GetAny (), port)); //获得节点1的IP的地址以及端口号
PacketSinkHelper sinkHelper ("ns3::TcpSocketFactory", sinkLocalAddress); //设置为TCP连接
sinkApp.Add(sinkHelper.Install(nodes.Get(0))); //把应用程序装入节点0
sinkApp.Start (Seconds (0.0));
sinkApp.Stop (Seconds (10.0)); OnOffHelper clientHelper ("ns3::TcpSocketFactory", Address ());
clientHelper.SetAttribute ("OnTime", StringValue ("ns3::ConstantRandomVariable[Constant=1]"));
clientHelper.SetAttribute ("OffTime", StringValue ("ns3::ConstantRandomVariable[Constant=0]")); ApplicationContainer clientApps;
AddressValue remoteAddress(InetSocketAddress (i0i1.GetAddress (0), port)); //设置远端IP以及端口,即服务器应用的IP和端口
clientHelper.SetAttribute("Remote",remoteAddress);
clientApps.Add(clientHelper.Install(nodes.Get(5))); //把应用程序装入节点5 clientApps.Start(Seconds(1.0));
clientApps.Stop (Seconds (10.0));

这是输出结果:

  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" 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" alt="" />

对于输出结果我存在很大的疑惑,为什么有时候传的是512字节,有时候是536字节,又或是112字节,当然绝大部分以512字节为主。

对于这个问题主要还是自己对TCP连接的原因理解的不够透彻,以及对一些模拟可视化的界面,还没办法弄出来加强理解。

在阅读相关文档后,还是安装TCP应用的地方存在疑惑。 接下来应该学习一些如何操作输出结果,看到可视化的一些东西,以加强对各种数据传输的理解。

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