How to Begin Implement Network Received Signal Strength in NS3

To implement the Received Signal Strength (RSS) using NS3, we will want to set up a wireless network and leverage aspects of NS3 for monitoring the signal strength on the receiver destination. RSS is a crucial parameter to compute the link quality and it is normally estimated within dBm (decibel-milliwatts). Here’s a simple guide on how to execute the RSS in NS3:

Steps to Implement Received Signal Strength in NS3

1. Understand Received Signal Strength

• Definition: RSS estimates the power of a signal received on node and it is impacted by:
  • Path loss and channel conditions.
  • Transmitter power.
  • Distance among the nodes.
• Unit: It is estimated in dBm.

2. Set Up the NS3 Environment

1. Install NS3:
   • We should install and download the NS3 environment properly on the computer.
2. Choose a Wireless Network:
   • Replicate a wireless environment to utilize the Wifi or Lte module.
3. Configure the PHY Layer:
   • Specify performance metrics like transmission power, frequency, and channel model for reflecting the realistic situations.

3. Enable RSS Measurement

1. Trace RSS at the PHY Layer:
   • Seize received signal power using the YansWifiPhy or LtePhy helper.
2. Log RSS Values:
   • Record the values of RSS utilising callbacks or trace sources for detailed analysis.

4. Implement RSS Measurement

Here’s a sample NS3 script for estimating the RSS within a WiFi network to apply YansWifiPhy helper.

Example Script: Measuring RSS in NS3

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/wifi-module.h”

#include “ns3/mobility-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

void MonitorRSS(Ptr<WifiPhy> wifiPhy, Ptr<MobilityModel> mobility1, Ptr<MobilityModel> mobility2) {

double distance = mobility1->GetDistanceFrom(mobility2);

double rss = wifiPhy->GetRxPower(distance); // Calculate RSS based on distance

NS_LOG_UNCOND(“Time: ” << Simulator::Now().GetSeconds() << “s, Distance: ” << distance

<< ” m, RSS: ” << rss << ” dBm”);

Simulator::Schedule(Seconds(1.0), &MonitorRSS, wifiPhy, mobility1, mobility2);

}

int main(int argc, char *argv[]) {

CommandLine cmd;

cmd.Parse(argc, argv);

// Create nodes

NodeContainer nodes;

nodes.Create(2);

// Configure WiFi

YansWifiChannelHelper wifiChannel = YansWifiChannelHelper::Default();

YansWifiPhyHelper wifiPhy = YansWifiPhyHelper::Default();

wifiPhy.SetChannel(wifiChannel.Create());

WifiHelper wifi;

wifi.SetStandard(WIFI_PHY_STANDARD_80211g);

WifiMacHelper mac;

mac.SetType(“ns3::AdhocWifiMac”);

NetDeviceContainer devices = wifi.Install(wifiPhy, mac, nodes);

// Configure mobility

MobilityHelper mobility;

mobility.SetMobilityModel(“ns3::ConstantPositionMobilityModel”);

mobility.Install(nodes);

// Set positions for nodes

Ptr<MobilityModel> mobility1 = nodes.Get(0)->GetObject<MobilityModel>();

Ptr<MobilityModel> mobility2 = nodes.Get(1)->GetObject<MobilityModel>();

mobility1->SetPosition(Vector(0.0, 0.0, 0.0)); // Node 1 at origin

mobility2->SetPosition(Vector(50.0, 0.0, 0.0)); // Node 2 at 50m distance

// Attach monitor to the PHY layer of the first node

Ptr<WifiNetDevice> wifiDevice = DynamicCast<WifiNetDevice>(devices.Get(0));

Ptr<WifiPhy> phy = wifiDevice->GetPhy();

// Schedule RSS monitoring

Simulator::Schedule(Seconds(1.0), &MonitorRSS, phy, mobility1, mobility2);

Simulator::Run();

Simulator::Destroy();

return 0;

}

Explanation of the Script

1. WiFi Configuration:
   • Sets up a basic ad-hoc WiFi network with the support of YansWifiPhyHelper.
2. RSS Calculation:
   • According to the distance and PHY set up, GetRxPower() determines the received signal power.
3. Node Mobility:
   • Nodes are statically located however we need to integrate mobility patterns for dynamic RSS computation.
4. Logging:
   • Records the values of RSS at typically intervals for in-depth analysis.

5. Run the Simulation

1. Build the simulation script and run it:

./waf –run “rss-monitor-example”

1. Monitor the simulation records for computing the distance and RSS values at various simulation times.

6. Analyze Results

• Impact of Distance:
  • Modify the distance among nodes and then monitor the modifications within RSS.
• Impact of Transmit Power:
  • Fine-tune the transmit power also examine their impact on RSS.

Detailed and sequential guidelines using NS3 environment have been shared for implementing and analysing the Network Received Signal Strength through this manual. Any queries related to this project will be clarified in another manual.