A discrete event simulation library for DTN
Project description
PyDTNsim
Introduction
This python module contains a simulation environment that allows the simulation of arbitrary Delay Tolerant Networking (DTN) scenarios on a packet (DTN terminology: bundle) level. PyDTNsim provides users with the ability to evaluate the performance of various routing approaches and to detect possibly occurring overload situations. Currently, the focus lies on deterministic Contact-Graph-based routing approaches, but there might be other approaches available in the future. The clear modularization allows users to easily implement routing approaches on their own.
More Information
Please refer to the Github repository for a more detailed overview of the module and tutorials on how to get started.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pydtnsim-0.1.1.tar.gz.
File metadata
- Download URL: pydtnsim-0.1.1.tar.gz
- Upload date:
- Size: 44.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
701502f31c6f9931913405db479ea90e35ca00d8434e5f2f7cf6ebac858ec43e
|
|
| MD5 |
0de85ddf28d794d71537a2501792ddaf
|
|
| BLAKE2b-256 |
fce1b1c4b32a621cd0c38beda42de23256e206534c1c3c744febb95cd22fbbe2
|
File details
Details for the file pydtnsim-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pydtnsim-0.1.1-py3-none-any.whl
- Upload date:
- Size: 60.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.7.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1a309ac0b2146755eabba26278607e262a76d2e8bcfb7c61d13ba104b37b0f6f
|
|
| MD5 |
a8166c3c41c550a3c6abe017093d034f
|
|
| BLAKE2b-256 |
5f725b9d8aa460180a90c8435f668f0dcf5913472cd21b9eadd98f7744bcdfe3
|
