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| -rw-r--r-- | README.md | 27 |
1 files changed, 16 insertions, 11 deletions
@@ -2,18 +2,23 @@ # ESDS: An Extensible Simulator For Distributed Systems and Cyber-Physical Systems **What is ESDS ?** -It is a short learning curve and coarse-grain network simulator. It contains the essential building blocks for the simulation of *Cyber-Physical Systems* (CPS) and *Wireless Sensors Networks* (WSN) scenarios. It was originally designed to improve node implementation flexibility/faithfulness and mitigate the learning curve compare to existing network simulators. +It is a short learning curve and coarse-grain network simulator. It contains the essential building blocks for the simulation of *Distributed Systems*, *Cyber-Physical Systems* (CPS), *Wireless Sensors Networks* (WSN) scenarios. It was originally designed to improve node implementation flexibility/faithfulness and mitigate the learning curve compare to existing network simulators. -**What ESDS does not implements?** -- Network protocols (such as IP/TCP/UDP) -- Wireless physical layer models -- Routing algorithms -- And much more! +ESDS is part of a research project. Thus, studies and validation experiments are available online. For more details please visit http://todo.com. **Features:** -- The implementation of node behavior can be any python file that you have wrote -- Wireless interferences detection (not modelization) -- Simulation can be interrupted at constant intervals to perform custom actions (such as implement nodes mobility) +- Easy to use +- Small API +- Agent-based: node implementations are in independant python files +- Wireless interferences detection (i.e no modelization) +- Custom node mobility (by updating the network matrix) +- Nodes plugins (e.g energy consumption) + +**What ESDS does not implements (yet?) ?** +- Network protocols (e.g IP/TCP/UDP) +- Wireless physical layer models (e.g Friis and Log-Distance models, modulation, RSSI) +- Routing algorithms (e.g Shortest path) +- And much more! **Current API:** - `api.args` @@ -27,6 +32,6 @@ It is a short learning curve and coarse-grain network simulator. It contains the - `api.read(<register>)` - `api.turn_on()` - `api.turn_off()` -- *More details in [example/sender.py](example/sender.py)* +- *More details on the API in [example/sender.py](example/sender.py)* -**Documentation:** cf. `example/` and `tests/` +**Documentation:** see `example/` and `tests/` |