To implement mobile sensing in ns3, we need to follow several steps. First, we have to create a simulation in which that mobile nodes (e.g., vehicles, pedestrians) have to collect and transmit data with the help of sensors. Finally, sending the data to a central server or shared with other nodes.
The following steps given below will guide on implementing mobile sensing in ns3.
Step-by-step guide to implement mobile sensing in ns3:
Step 1: Setup ns3 Environment
Make sure that ns3 is installed and properly configured.
git clone https://gitlab.com/nsnam/ns-3-dev.git
cd ns-3-dev
./waf configure
./waf build
Step 2: Understand ns3 Structure
ns3 is modular and includes various modules that can be used for simulating mobile sensing networks, such as the Mobility module for node movement and the WiFi or LTE modules for communication.
Step 3: Create Mobility Model for Mobile Nodes
Define the mobility model for the mobile nodes (e.g., vehicles or pedestrians).
#include “ns3/core-module.h”
#include “ns3/network-module.h”
#include “ns3/internet-module.h”
#include “ns3/mobility-module.h”
#include “ns3/wifi-module.h”
#include “ns3/applications-module.h”
#include “ns3/netanim-module.h”
using namespace ns3;
int main(int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse(argc, argv);
// Create nodes
NodeContainer mobileNodes;
mobileNodes.Create(10);
// Install Mobility Model
MobilityHelper mobility;
mobility.SetMobilityModel(“ns3::RandomWalk2dMobilityModel”,
“Bounds”, RectangleValue(Rectangle(-50, 50, -50, 50)));
mobility.Install(mobileNodes);
// Install WiFi devices
YansWifiChannelHelper wifiChannel = YansWifiChannelHelper::Default();
YansWifiPhyHelper wifiPhy = YansWifiPhyHelper::Default();
wifiPhy.SetChannel(wifiChannel.Create());
WifiHelper wifi;
wifi.SetRemoteStationManager(“ns3::AarfWifiManager”);
NqosWifiMacHelper wifiMac = NqosWifiMacHelper::Default();
wifiMac.SetType(“ns3::AdhocWifiMac”);
NetDeviceContainer wifiDevices = wifi.Install(wifiPhy, wifiMac, mobileNodes);
// Install Internet stack
InternetStackHelper stack;
stack.Install(mobileNodes);
Ipv4AddressHelper address;
address.SetBase(“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces = address.Assign(wifiDevices);
// Install applications (e.g., UDP echo for sensing data)
uint16_t port = 9;
UdpEchoServerHelper echoServer(port);
ApplicationContainer serverApps = echoServer.Install(mobileNodes.Get(0));
serverApps.Start(Seconds(1.0));
serverApps.Stop(Seconds(20.0));
UdpEchoClientHelper echoClient(interfaces.GetAddress(0), port);
echoClient.SetAttribute(“MaxPackets”, UintegerValue(100));
echoClient.SetAttribute(“Interval”, TimeValue(Seconds(1.0)));
echoClient.SetAttribute(“PacketSize”, UintegerValue(1024));
ApplicationContainer clientApps = echoClient.Install(mobileNodes.Get(1));
clientApps.Start(Seconds(2.0));
clientApps.Stop(Seconds(20.0));
// Enable animation
AnimationInterface anim(“mobile-sensing-animation.xml”);
Simulator::Stop(Seconds(20.0));
Simulator::Run();
Simulator::Destroy();
return 0;
}
Step 4: Run the Simulation
- Compile the Simulation:
./waf configure –enable-examples
./waf build
Run the Simulation:
./waf –run scratch/<your-simulation-script>
Step 5: Analyze Results
Use the NetAnim tool to visualize the simulation results.
netanim mobile-sensing-animation.xml
Step 6: Advanced Features
To extend the functionality of your mobile sensing simulation, consider the following:
1. Sensor Data Collection
Implement a custom application that simulates sensor data collection and transmission.
#include “ns3/core-module.h”
#include “ns3/network-module.h”
#include “ns3/internet-module.h”
#include “ns3/applications-module.h”
using namespace ns3;
class SensorApplication : public Application
{
public:
SensorApplication();
virtual ~SensorApplication();
void Setup(Ptr<Socket> socket, Address address, uint32_t packetSize, uint32_t nPackets, DataRate dataRate);
private:
virtual void StartApplication(void);
virtual void StopApplication(void);
void ScheduleTx(void);
void SendPacket(void);
Ptr<Socket> m_socket;
Address m_peer;
uint32_t m_packetSize;
uint32_t m_nPackets;
DataRate m_dataRate;
EventId m_sendEvent;
bool m_running;
uint32_t m_packetsSent;
};
SensorApplication::SensorApplication()
: m_socket(0), m_peer(), m_packetSize(0), m_nPackets(0), m_dataRate(0), m_sendEvent(), m_running(false), m_packetsSent(0) {}
SensorApplication::~SensorApplication()
{
m_socket = 0;
}
void SensorApplication::Setup(Ptr<Socket> socket, Address address, uint32_t packetSize, uint32_t nPackets, DataRate dataRate)
{
m_socket = socket;
m_peer = address;
m_packetSize = packetSize;
m_nPackets = nPackets;
m_dataRate = dataRate;
}
void SensorApplication::StartApplication(void)
{
m_running = true;
m_packetsSent = 0;
m_socket->Connect(m_peer);
SendPacket();
}
void SensorApplication::StopApplication(void)
{
m_running = false;
if (m_sendEvent.IsRunning())
{
Simulator::Cancel(m_sendEvent);
}
if (m_socket)
{
m_socket->Close();
}
}
void SensorApplication::SendPacket(void)
{
Ptr<Packet> packet = Create<Packet>(m_packetSize);
m_socket->Send(packet);
if (++m_packetsSent < m_nPackets)
{
ScheduleTx();
}
}
void SensorApplication::ScheduleTx(void)
{
if (m_running)
{
TimetNext(Seconds(m_packetSize* 8 / static_cast<double>(m_dataRate.GetBitRate())));
m_sendEvent = Simulator::Schedule(tNext, &SensorApplication::SendPacket, this);
}
}
2. Data Aggregation
Implement an application that aggregates data from multiple mobile nodes.
class DataAggregatorApplication : public Application
{
public:
DataAggregatorApplication();
virtual ~DataAggregatorApplication();
void Setup(Ptr<Socket> socket, uint16_t port);
private:
virtual void StartApplication(void);
virtual void StopApplication(void);
void HandleRead(Ptr<Socket> socket);
Ptr<Socket> m_socket;
uint16_t m_port;
};
DataAggregatorApplication::DataAggregatorApplication()
: m_socket(0), m_port(0) {}
DataAggregatorApplication::~DataAggregatorApplication()
{
m_socket = 0;
}
void DataAggregatorApplication::Setup(Ptr<Socket> socket, uint16_t port)
{
m_socket = socket;
m_port = port;
}
void DataAggregatorApplication::StartApplication(void)
{
if (!m_socket)
{
m_socket = Socket::CreateSocket(GetNode(), TcpSocketFactory::GetTypeId());
InetSocketAddress local = InetSocketAddress(Ipv4Address::GetAny(), m_port);
m_socket->Bind(local);
}
m_socket->Listen();
m_socket->SetRecvCallback(MakeCallback(&DataAggregatorApplication::HandleRead, this));
}
void DataAggregatorApplication::StopApplication(void)
{
if (m_socket)
{
m_socket->Close();
m_socket->SetRecvCallback(MakeNullCallback<void, Ptr<Socket>>());
}
}
void DataAggregatorApplication::HandleRead(Ptr<Socket> socket)
{
Ptr<Packet> packet;
Address from;
while ((packet = socket->RecvFrom(from)))
{
// Process the received packet (aggregate data)
// Add your data aggregation logic here
}
}
3. Enhanced Mobility Models
Use the SUMO (Simulation of Urban MObility) tool to create realistic mobility traces and import them into ns3.
Step 7: Testing and Validation
Test the simulation under various scenarios and validate the results by comparing with real-world data or theoretical models.
In this mobile sensing implementation we had created a simulation in that mobile nodes are equipped with sensor to collect and transmit data. By applying the mobility model for mobile nodes we can simulate this in ns3.
We have experience in Mobile Sensing in ns3simulation. Contact us for guidance and the best networking performance analysis.