基于Omnet++与Castalia的网络仿真：功耗及RSSI曲线绘制方法咨询

Hey there! I’ve spent a fair amount of time working with OMNeT++ and Castalia on network simulation projects, so let me break down exactly how to plot power consumption and RSSI curves for your work.

Castalia has built-in energy tracking via its Energy module, so you don’t have to reinvent the wheel here. Here’s what to do:

• Step 1: Enable energy statistics in your simulation
  Open your omnetpp.ini file and add these configuration lines to ensure Castalia logs power data:

  # Enable energy logging for all nodes
  **.node[*].energy.enableEnergyLogging = true
  **.node[*].energy.recordStats = true
  

  This tells the Energy module to record both per-module (radio, CPU, sensor) and total power consumption over time, saving the data to .vec vector files after simulation.

• Step 2: Visualize with OMNeT++ Scave
  Once your simulation finishes:

  1. Open OMNeT++ IDE, switch to the Scave perspective.
  2. Import your simulation’s .vec and .sca files using the "Import Results" button.
  3. In the Vector Data pane, search for power-related vectors—look for names like *.energy.totalPowerConsumption (total node power) or *.energy.radioPowerConsumption (radio-specific power).
  4. Drag the vectors you want to plot into the Plot window. Choose a line chart type for smooth time-series visualization.
  5. Customize the plot: add clear axis labels (e.g., "Time (s)" for X, "Power Consumption (mW)" for Y), legends for different nodes, and adjust line styles to distinguish between them easily.

• Pro tip: If you want to track average power across all nodes, use Scave’s Filter tool to aggregate vectors, or add a custom scalar statistic in your code that calculates the network-wide average at each simulation step.

RSSI data is captured by Castalia’s Radio module whenever a node receives a packet. Here’s how to visualize it:

• Step 1: Enable RSSI recording
  Add these lines to your omnetpp.ini to ensure RSSI values are logged:

  # Enable RSSI recording for all radio modules
  **.node[*].radio.recordRSSI = true
  

  The Radio module will now record RSSI values for every received packet as a vector, stored in the same .vec file as power data.

• Step 2: Plot RSSI in Scave
  Follow a similar workflow to power consumption:

  1. Import your simulation results into Scave.
  2. In Vector Data, search for RSSI vectors—they’ll typically be named something like *.radio.rssi or *.radio.receivedRSSI.
  3. Drag the desired vectors into the Plot window. For example, you can plot RSSI over time for a single node receiving packets from multiple senders, or compare RSSI values across different nodes in the network.
  4. Tweak the plot: set X-axis to simulation time, Y-axis to RSSI (usually measured in dBm), and add legends to clarify which node/link each line represents.

• Custom recording (if needed): If you want more granular RSSI data (e.g., logging RSSI every simulation step instead of just on packet reception), you can add a recordVector call in the Radio module’s code. For example:

  // Inside Radio.cc, in a periodic function or packet receive handler
  recordVector("rssiContinuous", currentRSSIValue);
  

内容的提问来源于stack exchange，提问作者Raoudha Saida