pons-dtn 0.1

The Python Opportunistic Network Simulator (PONS) is a discrete-event simulator for opportunistic/DTN networks.

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
  • ION DTN contact plans
  • [core contact plan}(https://github.com/gh0st42/ccm/)
• 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
  • 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.