Skip to content

Latest commit

 

History

History
97 lines (73 loc) · 2.29 KB

README.md

File metadata and controls

97 lines (73 loc) · 2.29 KB
Raw

PONS - Python Opportunistic Network Simulator

A modular DTN simulator in the style of the ONE.

Features:

  • distance- or contact-window-based network simulation
  • DTN routing algorithms
    • epidemic
    • spray & wait
    • first contact
    • direct delivery
    • PRoPHET
    • static
  • mobility
    • random waypoint
    • external ONE movement
    • external ns2 movement
  • contact plan connectivity model
  • static networkx topology
    • optionally: from graphml
    • optionally: fluctuating from contact plan
  • simulated user applications
  • tools
    • netedit-tk for generating graphml topologies
    • netreplay for generating animated gifs from graphml topologies with a contact plan or event logs

Requirements

  • simpy >= 4.0
  • networkx >= 3.2
  • plotting:
    • seaborn
    • pandas
    • matplotlib
    • numpy
  • tools:
    • pillow
    • opencv-python
    • tkinter

Example

import random
import json

import pons
import pons.routing

RANDOM_SEED = 42
SIM_TIME = 3600*24
NET_RANGE = 50
NUM_NODES = 10
WORLD_SIZE = (3000, 3000)

# Setup and start the simulation
random.seed(RANDOM_SEED)

moves = pons.generate_randomwaypoint_movement(
    SIM_TIME, NUM_NODES, WORLD_SIZE[0], WORLD_SIZE[1], max_pause=60.0)

net = pons.NetworkSettings("NET1", range=NET_RANGE)
epidemic = pons.routing.EpidemicRouter()

nodes = pons.generate_nodes(NUM_NODES, net=[net], router=epidemic)
config = {"movement_logger": False, "peers_logger": False, "event_logger": True}

msggenconfig = {"type": "single", "interval": 30, 
  "src": (0, NUM_NODES), "dst": (0, NUM_NODES), 
  "size": 100, "id": "M"}

netsim = pons.NetSim(SIM_TIME, WORLD_SIZE, nodes, moves,
                     config=config, msggens=[msggenconfig])

netsim.setup()

netsim.run()

# print results

print(json.dumps(netsim.net_stats, indent=4))
print(json.dumps(netsim.routing_stats, indent=4))

Run using python3 or for improved performance use pypy3.

Magic ENV Variables

Some of the simulation core functions can be set during runtime without having to change your simulation code.

  • LOG_FILE can be set to change the default event log file from /tmp/events.log to something else
  • SIM_DURATION can be used to override the calculated simulation duration