e-mail address: omnetmanual@gmail.com

Phone number: +91 9444856435
DEFENDER

How to Calculate Network Received signal strength in omnet++

To calculate the Received Signal Strength (RSS) in OMNeT++ has encompasses to use the wireless communication models that accessible in frameworks such as INET or MiXiM. The RSS is a defined to evaluate the power level that a receiver’s antenna receives from a transmitter and the OMNeT++can be emulated and computed as part of the physical layer (PHY) model. Below are the brief structured procedures to calculate the RSS in OMNeT++:

Steps-by-Step Implementation:

  1. Use a Suitable Wireless Framework:
  • Make sure that using a framework such as INET that offers models for wireless communication that encompasses the signal propagation, interference, and reception and the INET contains the physical layer modules that can compute the RSS based on the distance among the nodes, transmission power, and environmental factors.
  1. Configure the Physical Layer:
  • The physical layer model in nodes must be configured to emulate the wireless communication. In INET, this is commonly completed by the WirelessNic, Ieee80211Nic, or similar modules.

Example NED File Configuration:

import inet.node.inet.WirelessHost;

network WirelessNetwork {

submodules:

host[0..9]: WirelessHost {

parameters:

@display(“i=device/wifilaptop”);

}

connections allowunconnected:

host[*].wlan <–> Ieee80211ScalarRadioMedium <–> host[*].wlan;

}

  1. Accessing RSS Information:
  • The RSS can be retrieved over the radio module in the INET framework. Definitely, the Ieee80211ScalarRadio or ScalarReceiver modules are used to estimate and report the received signal strength.

Example in C++:

  • In the receiver’s code, we can access the RSS when a packet is received. The RSS value is typically part of the cPacket or Signal object received by the node.

virtual void handleMessage(cMessage *msg) override {

if (auto packet = dynamic_cast<inet::Packet *>(msg)) {

auto signal = packet->getTag<inet::SignalPowerInd>();

if (signal) {

double rss = inet::unit::W2dBm(signal->getPower().get());

recordScalar(“Received Signal Strength (dBm)”, rss);

}

}

delete msg;

}

  • This code snippet extracts the RSS in dBm from the packet’s signal tag when it is received by a node.
  1. Recording the RSS:
  • Record the RSS for analysis using OMNeT++’s scalar recording feature.

recordScalar(“Received Signal Strength (dBm)”, rss);

  • Alternatively, we need to accumulate RSS values over time or across packets to compute the average RSS or other statistics.
  1. Configure Simulation Parameters:
  • In omnetpp.ini file, configure the essential parameters to emulate a realistic wireless environment, like transmission power, path loss model, and other physical layer parameters.

Example Configuration in omnetpp.ini:

*.host[*].wlan.radio.transmitter.power = 2mW;

*.host[*].wlan.radio.receiver.sensitivity = -85dBm;

*.host[*].wlan.radio.receiver.noiseFigure = 7dB;

  • These settings impact how the RSS is computed and that taking into account the environment and hardware properties.
  1. Simulation and Analysis:
  • After running the simulation, the recorded RSS values can be measured to comprehend the performance of the network and we need to visualize RSS distributions, compare RSS across numerous distances, or correlate RSS with packet delivery rates.
  1. Advanced RSS Calculations:
  • If we want to emulate more complex environments, we need to use diverse propagation models like TwoRayGround, Nakagami, or RayleighFading that available in INET or other frameworks and these models offer more accurate RSS calculations by considering factors such as multipath fading, shadowing, and reflection.
  • Example of using a different propagation model in omnetpp.ini:

*.host[*].wlan.radio.medium.propagation.lossModel = “inet::TwoRayGroundReflection”;

This module permits to estimate and evaluate the received signal strength in your OMNeT++ simulations that delivers the valuable insights into wireless communication performance in network. We plan to elaborate and offer the more information about the received signal strength.

Share your parameter details with us, and we will deliver optimal project performance results regarding Network Received Signal Strength using the OMNeT++ tool

Related Topics