!date

lundi 6 novembre 2017, 10:11:00 (UTC+0100)

Trajectory and Network simulation

from IPython.display import Image, HTML, Latex, YouTubeVideo
import numpy as np
import pylayers.mobility.trajectory as traj
from pylayers.mobility.ban.body import *
from pylayers.gis.layout import *
%matplotlib inline

YouTubeVideo('1Qa6xLpU5-M')

Trajectories can be generated using simulnet.

from pylayers.simul.simulnet import *
S=Simul()

Warning Unable to read graph Gr
Warning Unable to read graph Gw
Layout graphs are loaded from /home/uguen/Bureau/P1/struc/ini

# set simulation duration
S.sim_opt['duration']='100'
S.meca_opt['mecanic_update_time']=0.1
# turn on network simulation
S.net_opt['network']=True

# run mechanical simulation
S.runsimul()

Trajectory

trajectories can be imported from a simulnet simulation with the importh5 method

from pylayers.mobility.trajectory import *

str1 = eval(S.sim_opt['filename'])
str2 = S.L._filename.split('.')[0]
save_filename = str1 + '_' + str2 +'.h5'

list_traj = S.traj

list_traj

Trajectories performed in Layout : TA-Office.lay

Trajectory of agent John with ID 1
----------------------------------
t (s) : 0.00 : 0.20 : 99.80
dtot (m) : 371.86
Vmoy (m/s) : 3.73
                                x         y        vx        vy        ax  t
1970-01-01 00:00:00.000  2.704137  2.529231  0.020684  0.158657  0.103419
1970-01-01 00:00:00.200  2.711583  2.586348  0.037231  0.285583  0.082735

                               ay      s
t
1970-01-01 00:00:00.000  0.793287  0.160
1970-01-01 00:00:00.200  0.634630  0.448

Trajectory of agent Alex with ID 2
----------------------------------
t (s) : 0.00 : 0.20 : 99.80
dtot (m) : 144.40
Vmoy (m/s) : 1.45
                                 x         y        vx        vy        ax  t
1970-01-01 00:00:00.000  38.907408  2.071490 -0.059739  0.148429 -0.298696
1970-01-01 00:00:00.200  38.885901  2.124925 -0.107531  0.267172 -0.238957

                               ay      s
t
1970-01-01 00:00:00.000  0.742146  0.160
1970-01-01 00:00:00.200  0.593717  0.448

Access point Router with ID 6
-----------------------------
t (s) : 0.00
Vmoy (m/s) : 0.0
              x    y    z   vx   vy   ax   ay    s
t
1970-01-01  0.5  2.0  2.5  0.0  0.0  0.0  0.0  0.0

Access point Router with ID 7
-----------------------------
t (s) : 0.00
Vmoy (m/s) : 0.0
              x     y    z   vx   vy   ax   ay    s
t
1970-01-01  0.7  14.0  2.5  0.0  0.0  0.0  0.0  0.0

Access point Router with ID 8
-----------------------------
t (s) : 0.00
Vmoy (m/s) : 0.0
               x     y    z   vx   vy   ax   ay    s
t
1970-01-01  39.0  13.0  2.5  0.0  0.0  0.0  0.0  0.0

The 2 following trajectories have been calculated with pylayers.simul.simulnet

t=S.traj.resample(10)

f=plt.figure(figsize=(20,20))
f,a = S.L.showG('s',fig=f)
for k,nodes in enumerate(t):
    f,a = nodes.plot(fig=f,ax=a)
../../_images/Mobility_14_0.png 
S

Simulation information
----------------------
Layout: TA-Office.lay
Simulation duration: 100
Random seed: 1
Save simulation: False

Update times
-------------
Mechanical update: 0.1
Network update: 0.1
Localization update: 'autonomous'

Agents => self.lAg[i]
------
Number of agents :5
Agents IDs: ['1', '2', '6', '7', '8']
Agents names: ['John', 'Alex', 'Router', 'Router', 'Router']
Destination of chosen agents: 'random'

Network
-------
Nodes per wstd: {}

Localization
------------
Localization enable: False
Postion estimation methods: ['geo']