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https://github.com/filfreire/fanet-ns2
filfreire's FANET experiment in ns2
https://github.com/filfreire/fanet-ns2
Last synced: 4 days ago
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filfreire's FANET experiment in ns2
- Host: GitHub
- URL: https://github.com/filfreire/fanet-ns2
- Owner: filfreire
- License: mit
- Created: 2024-03-18T10:46:11.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-03-18T11:33:21.000Z (7 months ago)
- Last Synced: 2024-03-19T12:07:11.514Z (7 months ago)
- Language: Jupyter Notebook
- Size: 1.83 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# fanet-ns2
filfreire's FANET (Flying Ad-Hoc Network) experiment for ns2 network simulator.
Created in the context of laboratory coursework for UALG's Master in Informatics Wireless Networks course, March 2024.
Report can be found [here (PDF format)](/report.pdf).
## Prerequisites
- Install ns-2. Follow guide over at
- Make sure `ns` is in your PATH
- Patch ns-2 installation to add M2ANET and UM-OLSR. Follow guide over at
- Clone this repository, e.g. `git clone https://github.com/filfreire/fanet-ns2.git` and switch to `fanet-ns2/` folder.
This repository was tested on Ubuntu 22.04 virtual machine, and requires ns-2.35 with the patches mentioned above.
## How to run
Open terminal and try to run the simulation script:
```bash
# ns
# example:
ns fanet-lab2-filfreire-3d.tcl DSR 20 600 5000 1
```
### Using makefile
To run multiple number of nodes, with multiple random seeds, you can use the [makefile](/makefile) present in this repository. Replace the config parameters according to your needs:
```make
RESULTS_FOLDER = /media/frodo/data
MIN_NODES = 20
MAX_NODES = 50
NODES_INCREMENT = 10
MAX_RANDOM_SEEDS = 30
TIME_DURATION = 600
GRID_SIZE = 5000
DIST_BETWEEN_NODES = 200
```
Then run the simulations either for AODV, DSDV and DSR:
```bash
make fanet-3d
```
Or run the simulations for OLSR (separate make target due to OLSR simulation taking a lot more time compared to the others):
```bash
make fanet-3d-olsr
```
To place results into a CSV run:
```bash
# parse AODV, DSDV and DSR results
make fanet-3d-csv
# parse OLSR results
make fanet-3d-csv-olsr
```
> Tip: you can save these into a `.csv`/`.txt` file to perform statistical analysis on results.
```bash
make fanet-3d-csv > results.csv
```
## Data analysis
Example experiment data, used in the [report](/report.pdf) is available in [data-analysis/results-fanet-total.txt](/data-analysis/results-fanet-total.txt).
All data analysis was done in [Jupyter Notebooks](https://jupyter.org/) and is provided as-is in the [data-analysis/](/data-analysis/) folder.