Simulator to carry out network simulations using various routing algos in python. Each Simulator comes equipped with a custom-defined graph. Each node has a queue in which packets have to wait to be processed after which they are sent to the next node.Currently, the simulator supports only random routing. Create a python file within the repo at first.
The first task is to initialize custom graph with nodes and edges as per your choice
from network_components import Packet, Network_Builder
edge_list = [(0,1,2),(0,2,4),(1,2,1),(2,4,3),(1,3,7),(4,3,2),(3,5,1),(4,5,5)]
n_nodes = 6
max_q_size = 10 #max queue size of each nodes
nx_graph = Network_Builder(n_nodes,max_q_size,edge_list)Currently only random routing is supported where next node chosen from uniform distribution of reachable neighbour nodes
from routing_algorithms import Random_Routing
router = Random_Routing() # Random Routing The Network Environment is where all network simulations run
from Network_env import Network_Env
env = Network_Env(nx_graph,router)
n_packets = 10 # Total no.of packets to be transferred in simulation
total_runtime = 300 # Total runtime of simulation
env.Initialize_Simulation(total_runtime,n_packets) # Randomly Initialize Each packets source, destination and start time
env.run_simulation() # Run SimulationOnce a simulation is run we need to have a look at the results of the simulations.
from Network_env import NetworkSnapshot
snapshot = NetworkSnapshot(env)
# Displays source, dest, route list and whether packet was successfully delivered for each packet
snapshot.display_all_packet_status()
# No.of packets remaining at all node queues after end of every simulation
snapshot.log_queue_list()
# Displays no. of delivered, dropped and transit packets
snapshot.packet_status()- Add QR Algo, PQR Algo and GNN + QR
- Add Support for Custom Packet properties