def path():
report = []
traces = []
uav_altitude = 200
uav_start = position.Position(0, 0, uav_altitude)
init_paths = []
opt_paths = []
repeats = 1000
report.append({'label': "Repeats", 'value': repeats})
for i in range(repeats):
nodes = generate_nodes_data(10, 2000, 2000)
to_visit = []
for node_id in nodes:
to_visit.append(Position(*nodes[node_id]))
planner = NNPathPlanner()
uav_path = planner.compute_path(uav_start, to_visit)
init_paths.append(planner.path_length(uav_path))
uav_path_opt = planner.reduce_path(R, 5)
opt_paths.append(planner.path_length(uav_path_opt))
avg_init = sum(init_paths)/len(init_paths)
avg_opt = sum(opt_paths)/len(opt_paths)
reduction = (avg_init - avg_opt) / avg_init
report.append({'label': "Init", 'value': avg_init})
report.append({'label': "Reduced", 'value': avg_opt})
report.append({'label': "Reduction", 'value': reduction})
params = {
"title": "main",
"nodes": nodes,
"report": report,
}
return render_template("path.html", **params)
def path():
report = []
traces = []
uav_altitude = 200
uav_start = position.Position(0, 0, uav_altitude)
init_paths = []
opt_paths = []
repeats = 1000
report.append({'label': "Repeats", 'value': repeats})
for i in range(repeats):
nodes = generate_nodes_data(10, 2000, 2000)
to_visit = []
for node_id in nodes:
to_visit.append(Position(*nodes[node_id]))
planner = NNPathPlanner()
uav_path = planner.compute_path(uav_start, to_visit)
init_paths.append(planner.path_length(uav_path))
uav_path_opt = planner.reduce_path(R, 5)
opt_paths.append(planner.path_length(uav_path_opt))
avg_init = sum(init_paths) / len(init_paths)
avg_opt = sum(opt_paths) / len(opt_paths)
reduction = (avg_init - avg_opt) / avg_init
report.append({'label': "Init", 'value': avg_init})
report.append({'label': "Reduced", 'value': avg_opt})
report.append({'label': "Reduction", 'value': reduction})
params = {
"title": "main",
"nodes": nodes,
"report": report,
}
return render_template("path.html", **params)
def map():
map = demo_map()
nodes_data = []
report = []
traces = []
uav = Node("uav", 400, 400, 150)
f = 868*1000000
rf = rfModel()
uav_altitude = 200
uav_start = position.Position(0, 0, uav_altitude)
nodes = map.get_nodes()
to_visit = []
for node in nodes:
to_visit.append(node.get_position(True))
planner = NNPathPlanner()
uav_path = planner.compute_path(uav_start, to_visit)
report.append({'label': "Nodes path", 'value': planner.path_length(uav_path)})
traces.append(uav_path)
uav_path = planner.reduce_path(R, 5)
report.append({'label': "Reduced path", 'value': planner.path_length(uav_path)})
#uav_path.extend(uav_path_2)
traces.append(uav_path)
dynamic_data = []
# time dynamic data
for (x, y, z) in [p.get_position() for p in uav_path]:
nodes_state = []
uav.set_position(x, y, uav_altitude)
for node in nodes:
node_info = dict()
node_info['id'] = node.get_name()
node_info['position'] = node.get_position()
node_info['snr'] = rf.attenuation(f, uav.distance_to(node), rf.DB)
nodes_state.append(node_info)
state = {'position': (x, y, uav_altitude), 'nodes': nodes_state}
dynamic_data.append(state)
uav_data = {'id': "uav", 'position': uav.get_position()}
uavs_data = [uav_data]
serial_traces = []
for path in traces:
serial_traces.append([p.get_position() for p in path])
params = {
"title": "main",
"nodes": nodes,
"report": report,
"nodes_data": json.dumps(nodes_data),
"uavs_data": json.dumps(uavs_data),
"dynamic_data": json.dumps(dynamic_data),
"traces": json.dumps(serial_traces),
}
return render_template("index.html", **params)
def map():
map = demo_map()
nodes_data = []
report = []
traces = []
uav = Node("uav", 400, 400, 150)
f = 868 * 1000000
rf = rfModel()
uav_altitude = 200
uav_start = position.Position(0, 0, uav_altitude)
nodes = map.get_nodes()
to_visit = []
for node in nodes:
to_visit.append(node.get_position(True))
planner = NNPathPlanner()
uav_path = planner.compute_path(uav_start, to_visit)
report.append({
'label': "Nodes path",
'value': planner.path_length(uav_path)
})
traces.append(uav_path)
uav_path = planner.reduce_path(R, 5)
report.append({
'label': "Reduced path",
'value': planner.path_length(uav_path)
})
#uav_path.extend(uav_path_2)
traces.append(uav_path)
dynamic_data = []
# time dynamic data
for (x, y, z) in [p.get_position() for p in uav_path]:
nodes_state = []
uav.set_position(x, y, uav_altitude)
for node in nodes:
node_info = dict()
node_info['id'] = node.get_name()
node_info['position'] = node.get_position()
node_info['snr'] = rf.attenuation(f, uav.distance_to(node), rf.DB)
nodes_state.append(node_info)
state = {'position': (x, y, uav_altitude), 'nodes': nodes_state}
dynamic_data.append(state)
uav_data = {'id': "uav", 'position': uav.get_position()}
uavs_data = [uav_data]
serial_traces = []
for path in traces:
serial_traces.append([p.get_position() for p in path])
params = {
"title": "main",
"nodes": nodes,
"report": report,
"nodes_data": json.dumps(nodes_data),
"uavs_data": json.dumps(uavs_data),
"dynamic_data": json.dumps(dynamic_data),
"traces": json.dumps(serial_traces),
}
return render_template("index.html", **params)
