def run(node_count, csvfile):
print(f'run for node_count: {node_count}')
state = topology.create_nodes(node_count)
for max_range in float_range(0.0, 0.8, 0.01):
# calculate every value 100 times
for _ in range(0, 100):
mobility.randomize_positions(state, xy_range=1.0)
mobility.connect_range(state, max_distance=max_range)
paths = get_all_paths(node_count)
(connected_path_count, connected_median_hop_count,
connected_max_hop_count) = get_connectivity(state, paths)
mean_geo_distance = get_mean_geo_distance(state, paths)
# add data to csv file
connectivity_per = 100 * connected_path_count / len(paths)
extra = ([
'node_count', 'max_range', 'mean_geo_distance',
'connectivity_per', 'connected_median_hop_count',
'connected_max_hop_count'
], [
node_count, max_range, mean_geo_distance, connectivity_per,
connected_median_hop_count, connected_max_hop_count
])
tools.csv_update(csvfile, '\t', extra)
def run(protocol, csvfile, step_duration, step_distance):
shared.seed_random(42)
node_count = 50
state = topology.create_nodes(node_count)
mobility.randomize_positions(state, xy_range=1000)
mobility.connect_range(state, max_links=150)
# create network and start routing software
network.apply(state, link_command=get_tc_command, remotes=remotes)
software.start(protocol)
test_beg_ms = shared.millis()
for n in range(0, 30):
print(f'{protocol}: iteration {n}')
#with open(f'graph-{step_duration}-{step_distance}-{n:03d}.json', 'w+') as file:
# json.dump(state, file, indent=' ')
# connect nodes range
wait_beg_ms = shared.millis()
# update network representation
mobility.move_random(state, distance=step_distance)
mobility.connect_range(state, max_links=150)
# update network
tmp_ms = shared.millis()
network.apply(state=state,
link_command=get_tc_command,
remotes=remotes)
#software.apply(protocol=protocol, state=state) # we do not change the node count
network_ms = shared.millis() - tmp_ms
# Wait until wait seconds are over, else error
shared.wait(wait_beg_ms, step_duration)
paths = ping.get_random_paths(state, 2 * 400)
paths = ping.filter_paths(state, paths, min_hops=2, path_count=200)
ping_result = ping.ping(paths=paths,
duration_ms=2000,
verbosity='verbose',
remotes=remotes)
# add data to csv file
extra = (['node_count',
'time_ms'], [node_count,
shared.millis() - test_beg_ms])
shared.csv_update(csvfile, '\t', extra, ping_result.getData())
software.clear(remotes)
network.clear(remotes)
def run(protocol, csvfile):
tools.seed_random(23)
node_count = 50
state = topology.create_nodes(node_count)
mobility.randomize_positions(state, xy_range=1000)
mobility.connect_range(state, max_links=150)
# create network and start routing software
network.apply(state=state, link_command=get_tc_command)
software.start(protocol)
tools.sleep(30)
for step_distance in [50, 100, 150, 200, 250, 300, 350, 400]:
print(f'{protocol}: step_distance {step_distance}')
traffic_beg = tools.traffic()
for n in range(0, 6):
#with open(f'graph-{step_distance}-{n}.json', 'w+') as file:
# json.dump(state, file, indent=' ')
# connect nodes range
wait_beg_ms = tools.millis()
# update network representation
mobility.move_random(state, distance=step_distance)
mobility.connect_range(state, max_links=150)
# update network
network.apply(state=state, link_command=get_tc_command)
# Wait until wait seconds are over, else error
tools.wait(wait_beg_ms, 10)
paths = tools.get_random_paths(state, 2 * 200)
paths = tools.filter_paths(state, paths, min_hops=2, path_count=200)
ping_result = tools.ping_paths(paths=paths, duration_ms=2000, verbosity='verbose')
packets_arrived_pc = 100 * (ping_result.received / ping_result.send)
traffic_end = tools.traffic()
# add data to csv file
extra = (['node_count', 'time_ms', 'step_distance_m', 'n', 'packets_arrived_pc'], [node_count, tools.millis() - wait_beg_ms, step_distance, n, packets_arrived_pc])
tools.csv_update(csvfile, '\t', extra, (traffic_end - traffic_beg).getData(), ping_result.getData())
traffic_beg = traffic_end
software.clear()
network.clear()