How to Implement FANET in OMNeT++

To implement a Flying Ad-Hoc Network (FANET) in OMNeT++ consist of numerous key steps. The given below is huge-level guide to support the get ongoing:

Step-by-Step Implementation:

1. Set Up OMNeT++

1. Install OMNeT++:
   • From the official OMNeT++ website to install and download
   • For the operating system we ensure the installation instructions.
2. Install INET Framework:
   • Take the INET framework, which affords models for network protocols and plans.
   • Expand the INET framework into the OMNeT++ workspace.
   • Exposed OMNeT++ IDE, significance the INET project, and construct it.

2. Design the FANET Architecture

1. Define the Network Structure:
   • Identify the components of your FANET, such as Unmanned Aerial Vehicles (UAVs) and Ground Control Stations (GCS).
   • Determine the communication protocols and data flow between these components.
2. Create the Network Nodes:
   • Extend existing INET nodes or generate different ones for specific components like UAV nodes.
   • Explain the bounds and assets of these nodes such as mobility, energy consumption, and communication range.

3. Develop the Simulation Modules

1. UAV Node Module:
   • Produce a new module or encompass an current one for UAVs.
   • Instrument UAV-specific functionalities like mobility models, energy consumption models, and communication protocols.
2. Ground Control Station (GCS) Module:
   • State a module to denote the Ground Control Station.
   • Make sure this module was connect with UAVs and maybe further network nodes.

4. Implement Communication Protocols

1. Define Communication Interfaces:
   • State the interfaces for communication among UAVs and with the UAVs and GCS.
   • Gadget data chat appliances by using INET’s message-passing system.
2. Simulate Network Traffic:
   • Make a traffic producers to simulate data and control messages amongst UAVs and GCS.
   • Device algorithms for data moving and communication organization in the FANET.

5. Implement Mobility Models

1. Define Mobility Models:
   • To simulate UAVs by using the existing mobility models in INET or build new one.
   • Cases consist of random waypoint, Gauss-Markov.
2. Integrate Mobility with Communication:
   • Make certain that the mobility model relates with the communication modules to return changes in network topology by means of UAVs move.

6. Configure the Simulation

1. Network Configuration File (NED):
   • To compose NED files to describe the network topology and configuration.
   • Agree the types and links of nodes in the network.
2. Simulation Configuration File (INI):
   • To build an INI files to lay down reproduction parameters like logging options, mobility parameters, simulation time, node properties.
   • Constitute changed scenarios to value the show of the FANET implementation.

7. Run and Analyze the Simulation

1. Run the Simulation:
   • Run the simulation and by using the OMNeT++ IDE to compile.
   • Observer the recreation for any errors or surprising performance.
2. Collect and Analyze Results:
   • To gather simulation data by using the OMNeT++’s built-in analysis tools.
   • To evaluare the performance of the FANET implementation to estimate metrics like latency, throughput, connectivity, and energy consumption.

Example Code Snippets

The below we are see some simple examples:

NED File (FANET.n)

package fanet;

import inet.node.adhoc.AdhocHost;

import inet.mobility.single.RandomWaypointMobility;

import inet.node.inet.Router;

network FANET {

submodules:

uav[10]: AdhocHost {

@display(“p=100,100;i=block/circle”);

mobility.typename = “RandomWaypointMobility”;

mobility.initialX = uniform(0, 1000);

mobility.initialY = uniform(0, 1000);

}

gcs: Router {

@display(“p=500,500;i=block/router”);

}

connections:

for i=0..9 {

uav[i].pppg++ <–> gcs.pppg++;

}

}

INI File (omnetpp.ini)

[General]

network = fanet.FANET

sim-time-limit = 1000s

*.uav*.mobility.speed = uniform(5, 10)mps

*.uav*.mobility.updateInterval = 0.1s

*.uav*.mobility.constraintAreaMinX = 0m

*.uav*.mobility.constraintAreaMaxX = 1000m

*.uav*.mobility.constraintAreaMinY = 0m

*.uav*.mobility.constraintAreaMaxY = 1000m

*.gcs.numUav = 10

# Additional parameters for traffic generation, energy models, and node properties

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