unlocalized.append([node.id, node.memory.get('I')])
xestpositions.append(newx)
esterror.append(err)
deltapos.append(net.pos[node][0] - newx)
# Summary of simulation result/Metrics
comments = "Runtime(s): "+ str(round(end_time,2)) + \
", Nodes Localized: " + str(k) + "/" + str(len(unlocalized)) + \
", Avg. error: " + str(round(err_sum/k, 2)) + \
"<br>Tx/Rx per node: " + str(int(total_tx/nn)) + "/" + \
str(int(total_rx/nn)) + \
", Energy/node (mJ): " + str(round(1000*total_energy/nn, 2))
print(comments)
stats = "Simulation Start at: " + getDateStr(
sim.sim_start) + " UTC <br><br>"
position_stats.append(np.round(np.mean(position_stats, axis=0), 2))
position_stats.append(np.round(np.min(position_stats, axis=0), 2))
position_stats.append(np.round(np.max(position_stats, axis=0), 2))
position_stats.append(np.round(np.std(position_stats, axis=0), 2))
stats += "Localization: [xr, yr, xl, yl, error]" \
"<br>Avg: " + str(position_stats[-4][1:]) + \
"<br>Min: " + str(position_stats[-3][1:]) + \
"<br>Max: " + str(position_stats[-2][1:]) + \
"<br>Std: " + str(position_stats[-1][1:]) + "<br>"
message_stats.append(np.round(np.mean(message_stats, axis=0), 2))
message_stats.append(np.round(np.min(message_stats, axis=0), 2))
message_stats.append(np.round(np.max(message_stats, axis=0), 2))
# Summary of simulation result/Metrics
comments = "Runtime(s): "+ str(round(end_time,2)) + "(" + \
str(round(end_time/nn,3)) + ")"+ \
", Nodes Localized: " + str(k) + "/" + str(len(unlocalized)) + \
", Avg. error: " + str(round(err_sum/k, 2)) + \
"<br>Tx/Rx per node: " + str(int(total_tx/nn)) + "/" + \
str(int(total_rx/nn)) + \
", Energy/node (mJ): " + str(round(1000*total_energy/nn, 2)) + \
", |Err>R|: " + str(len(X2[X2>comm_range]))
if maxHop:
comments += ", MaxHop: " + str(maxHop)
else:
comments += ", " + method
print (comments)
stats = "Simulation Start at: " + getDateStr(sim.sim_start) + " UTC <br><br>"
position_stats.append(np.round(np.mean(position_stats, axis=0),2))
position_stats.append(np.round(np.min(position_stats, axis=0),2))
position_stats.append(np.round(np.max(position_stats, axis=0),2))
position_stats.append(np.round(np.std(position_stats, axis=0),2))
stats += "Localization: [xr, yr, xl, yl, error, hops]" \
"<br>Avg: " + str(position_stats[-4][1:]) + \
"<br>Min: " + str(position_stats[-3][1:]) + \
"<br>Max: " + str(position_stats[-2][1:]) + \
"<br>Std: " + str(position_stats[-1][1:]) + "<br>"
message_stats.append(np.round(np.mean(message_stats, axis=0),2))
message_stats.append(np.round(np.min(message_stats, axis=0),2))
message_stats.append(np.round(np.max(message_stats, axis=0),2))