FANET Simulator

FANET Simulator

FANET OVERVIEW: It is analyzed as a new family of networks, the Flying AdHoc Network (FANET). Traditional networking paradigms pose many challenges or have difficulty implementing in emergency situations. Communication among multi-UAV (Unmanned Air Vehicles) systems is accomplished by the FANET simulator, which is critical for the collaboration and cooperation between the UAV systems.

Simulators play a prominent role in any research project. We are supporting research in FANET simulator projects

This article provides a complete structure on the FANET simulator, which is now one of them, for the most part, central and current research topics.

Here is an overview of FANET projects based on NS2, NS3 OPNET given by our experienced technical team. Go through the following article to get a complete understanding of research in FANET simulator projects.

FANET communications architecture

For FANET, there seem to be three prominent connectivity architectures.

  • Multi-Groups UAV Ad Hoc Network
    • Centralised Network and Ad-Hoc networks are integrated to form the fundamental multi groups UAV Ad-Hoc network architecture
    • Communication between groups does not require ground stations, but communication between groups does.
    • The use of this architecture is often advantageous when there are many unmanned aerial vehicles with different flight characteristics and communication capabilities participating in tasks.
  • UAV based Ad Hoc Networking 
    • UAV Ad Hoc Networks can be deployed to conduct autonomous aerial reconnaissance. The system can deploy many small-sized UAVs that can communicate with each other simultaneously.
    • For FANET to remain connected, all UAVs in the network must move with similar speeds and directions.
  • Multi-Layers UAV Ad Hoc Network
    • There are several groups in this communication system.
    • A one-to-many UAV operation, in which communication takes place between UAVs and between the backbone groups and ground stations, is best suited to the architecture of this communication architecture. 
    • Moreover, this architecture eliminates solo points of disappointment.
    • We have created successful projects in FANET simulation throughout the world. So you get a chance to connect yourself with our world-class authorized engineers to make your project successful. 

FANET Simulation 

  • Micro UAV (unmanned aerial vehicle) networks, or flying ad hoc networks (FANET), are a new class of MANET in which drones are communicated via photographic camera, devices, and wireless communications. 
  • Using the simulator is easy, as it permits you to specify a number and type of parameters, the properties of the environment, and the algorithm for collision avoidance and path planning.
  • Many users can be connected at the same time in a particular coverage area through the distribution of wireless connectivity.
  • Scientific researchers can benefit from software simulators in generating the right flying parameters for UAVs and drones in various situations.
comprehensive study of fanet simulator

Research Ideas in FANETs 

  • Techniques for Social Sensing
    • In their efficient use they have proven that there is not too far until we find ourselves surrounded by actuators and dynamic sensors of various kinds, in order to process our social data and present it accordingly.
  • Processes based on Drones
    • Among the most talked-about innovations in drones upon its invention.
    • FANET includes a group of Drones that work together.
    • In addition to collecting data to perform various daily functions such as weather prediction and tracking movement of people on earth, there are a number of sensor designs.
    • Any remote location can be approached by FANETs without any problem.
  • Authentic processes for Multi UAV Communications
    • The multi-UAV devices work in a fast-paced atmosphere. 
    • If ad hoc networking cannot be established, all UAVs must be connected to a network structure. 
    • However, due to weather conditions, some of the UAVs may be unplugged throughout the operation.
    • If the multi-UAV system can handle FANET design, it will be able to keep the other UAVs connected. 
    • The multi-UAV system’s reliability is enhanced by this connectivity feature
  • Techniques based on hazards (and catastrophe)
    • FANETs communications are critical for the goal fulfillment of UAVs, which rely on efficient and effective communication between UAVs.
    • In crisis situations such as disaster relief operations, disaster-rescue information transmission needs to be highly reliable and on time.
  • FANET Communication approach [hop – by – hop]
    • Hop-by-hop connectivity between drones as a method of expanding the network catchment area. 
    • Given the flexibility of UAVs in a FANET, it is possible that one plane will not be close enough yet to communicate with another, forcing it to use routing knowledge to evaluate another path.
    • Communications can be supported by more than one intermediate node, which means communication does not depend on individual devices but can leverage the combined effects of all devices. For instance, consider the communication among the following stakeholders
    • Ground devices connect with unmanned aerial vehicles (or UAV) through UAV to Ground or U2G communication
    • One UAV communicates with the other using Hop – by – hop communication
    • The source UAV and Destination UAV gets connected with the establishment of U2U or UAV to UAV communication

Since we have been in FANET simulation projects for more than ten years, we are well experienced in managing these issues. Usually, prevention is given utmost priority by our technical experts. We have got modernizing teams of experts to help you in this project. Let us now talk about the FANET simulator project related.

List of FANET simulation parameters 

  • Size of message 250KB
  • 60 minutes of the simulation were spent.
  • Fanet has five scanned UAVs.
  • 400m * 400m an area under simulation,
  • Mobile scans for UAVs.
  • Signal TTL range is 30 mins.
  • A transmission’s range is 500m
  • The message formation period took 30 s.
  • Speed of transmission 1Mbps
  • The type of MAC is IEEE 802.11g, a model of free space
  • Channel capacity 50 MB
  • UAV numbers: 5,10,15,20
  • RWP is delivering UAVs routing algorithm 

FANET Simulator [Network Simulation Tools]

FANET simulation in NS2

  • The position-based routing protocols considered in our study are coded for NS-2 (version 2.35).
  • NS-2 includes the third dimension in the N2ANET patch, which must first be installed.

NS-2 modules consist of the following:

  • The geo_utility.h header file contains geometrical functions, including projections of 3D graphs into 2D ones as well as the distance function between nodes.
  • geo_pkt.h contains the updated geo packet header definitions.
  • The concept and implementation of the geographic node can be found in geo_node.h and (position, neighbor list, etc.).
  • The geographical agent’s prototype is defined and implemented in geo. h and geo. cc
  • The forwarded techniques evaluated in our state-of-the-art study are defined and implemented in geo_next_node.h and

FANET simulation in NS3

  • Use NS3 to simulate Flying Adhoc Networks (FANETs). 
  • The network uses a Gauss Markov mobility model which incorporates 3D mobility. 
  • A 3D model is used to fly the nodes using the X, Y, and Z-axis

Then, to execute this file, build a codebase in the file and follow the instructions below:

Step 1: Place the above document in the ns-3.31/scratch folder.

Step 2: Activate the terminal.

$] cd ns-allinone-3.31/ns-3.31/

$] ./waf –run scratch/fanetex

To view the animation, go to:

  • We can examine the FANET numerical simulations by going to../netanim-3.108/NetAnim and pressing the start button in the objects.

FANET simulation in OPNET

  • Based on the following performance metrics, we can evaluate the topology-based routing protocols:
  • Load (bits per second)
  • Throughput (bits per second) 
  • Delay (seconds) 
  • Modelling and simulation of FANET were carried out with OPNET Modeler 14.1; modifications were made to the MANET node model for FANET via its node editor. According to the IEEE 802.11 g standard, we set the data rate for all the UAVs at 11 Mbps and 54 Mbps.

With this blown-up view on this FANET simulator project, you can now try to choose a research topic on your own. Or if you have got any doubts, then be present quick to dial us. We are always ready all the time to answer your trouble. Connect with us to you have a joyful research journey.

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
RTOOL 13 15 8
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
VIRL 9 9 8
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
ONESIM 5 10 5
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9

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