如何统计OMNET++中WLAN仿真的Ping发送、接收与丢失数量？

问题背景 #

使用INET框架的PingApp完成WLAN仿真，已配置部分统计项，但仅能看到pingRxSeq和pingTxSeq序列向量，无法获取：

• 已发送的Ping数量
• 已接收的Ping数量
• 上述数据与sendInterval的关联
• 丢失的Ping数量

解决方案 #

1. 修正NED文件的统计配置 #

原NED中全局定义的@statistic无法正确关联到PingApp实例，需移除全局统计项，让PingApp自带的信号生效：

import inet.applications.pingapp.PingApp;
import inet.networklayer.configurator.ipv4.Ipv4NetworkConfigurator;
import inet.node.inet.WirelessHost;
import inet.node.wireless.AccessPoint;
import inet.physicallayer.wireless.ieee80211.packetlevel.Ieee80211ScalarRadioMedium;

network WLAN
{
    parameters:
        int numHosts = default(2);
        **.mgmt.numChannels = 2;
        @display("bgb=645,452");

    submodules:
        host[numHosts]: WirelessHost {
            @display("p=287,101");
            wlan[*].mgmt.typename = "Ieee80211MgmtStaSimplified";
        }

        ap: AccessPoint {
            @display("p=111,260");
            wlan[*].mgmt.typename = "Ieee80211MgmtApSimplified";
        }

        radioMedium: Ieee80211ScalarRadioMedium {
            @display("p=462,201");
        }
        configurator: Ipv4NetworkConfigurator {
            @display("p=462,320");
        }
}

2. 调整INI文件的统计配置 #

PingApp内置了sentPk（发送包信号）、rcvdPk（接收包信号）、lostPk（丢包信号）等，只需在INI中开启这些信号的统计记录，并配置合适的统计模式：

[General]
network = WLAN
#cmdenv-output-file = omnetpp.log
#debug-on-errors = true
#record-eventlog = true

**.constraintAreaMinX = 0m
**.constraintAreaMinY = 0m
**.constraintAreaMinZ = 0m
**.constraintAreaMaxX = 500m
**.constraintAreaMaxY = 300m
**.constraintAreaMaxZ = 0m

# access point
**.ap.wlan[*].address = "10:00:00:00:00:00"
**.host[*].**.mgmt.accessPointAddress = "10:00:00:00:00:00"
**.mgmt.frameCapacity = 10 

# ping app (host[0] pinged by others)
**.numApps = 1
**.app[0].typename = "PingApp"
*.host[0].app[0].destAddr = ""
*.host[*].app[0].destAddr = "host[0]"
*.host[*].app[0].sendInterval = 10ms

# 开启所有PingApp的统计记录
**.app[*].statistic-recording = true
**.app[*].result-recording-modes = "all"

# 配置具体统计项：发送数、接收数、丢包数
**.app[*].@statistic[sentPk](title="Pings Sent"; record=last,vector; interpolationmode=none; source=sentPk)
**.app[*].@statistic[rcvdPk](title="Pings Received"; record=last,vector; interpolationmode=none; source=rcvdPk)
**.app[*].@statistic[lostPk](title="Pings Lost"; record=last,vector; interpolationmode=none; source=lostPk)

# 保留原有WLAN配置
**.wlan[*].mac.retryLimit = 7
**.bandName = "5 GHz (20 MHz)"
**.opMode = "ac"
**.wlan[*].radio.antenna.numAntennas = 8
**.bitrate = 693.3Mbps
**.wlan[*].radio.transmitter.power = 100mW
**.wlan[*].radio.transmitter.headerBitLength = 100b
**.carrierFrequency = 5GHz
**.wlan[*].radio.receiver.sensitivity = -85dBm
**.wlan[*].radio.receiver.snirThreshold = 4dB

[Config Ping1]
description = "host1 pinging host0"
*.numHosts = 2

3. 结果说明 #

• 已发送/接收/丢失Ping数量：仿真结束后，在结果文件中可查看每个host[*].app[0]对应的sentPk:last、rcvdPk:last、lostPk:last数值，分别对应总发送、总接收、总丢包数。
• 与sendInterval的关联：sentPk和rcvdPk的vector序列会记录每个包的发送/接收时间戳，由于sendInterval=10ms，发送时间点会呈现10ms间隔的规律，可通过向量数据直观看到时间间隔与发送/接收的关联。

内容的提问来源于stack exchange，提问作者nisar007