Of course, each and every one of us can simulate the wireless sensor networks in python through following all the guidelines highlighted by our research professionals.
Stage: I
As the first process, we have to open the WSN in python IDE through going to the file and opening it using python to simulate the wireless sensor networks in python.
Stage: II
While opening the WSN, the below mentioned python source code will be occurred for the sensor node localization.
import math
import numpy as np
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot as pb
import random
from datetime import datetime
import time
def dist(x, y, pos):
return math.sqrt((pos[0]-x)**2 + (pos[1]-y)**2)
areaSize=(30, 30)
node_positions = (areaSize[0]+6,areaSize[1]+6)
node_pos=[(-node_positions[0],node_positions[1]),
(node_positions[0],node_positions[1]),(node_positions[0],-node_positions[1]),
(-node_positions[0],-node_positions[1])]
initial_pos=(0,0)
possible_value = list(range(-20, 20))
num_particles = 200
NOISE_LEVEL=1
RESOLUTION=5
STEP_SIZE=1/RESOLUTION
def gen_wifi(freq=2.4, power=20,
trans_gain=0, recv_gain=0,
size=areaSize, pos=(5,5), shadow_dev=2, n=3,noise=NOISE_LEVEL):
if pos is None:
pos = (random.randrange(size[0]),
random.randrange(size[1]))
random.seed(datetime.now())
rss0 = power + trans_gain + recv_gain + 20 * math.log10(3 / (4 * math.pi * freq * 10))
rss0=rss0-noise*random.random()
normal_dist = np.random.normal(0, shadow_dev, size=[size[0]+1, size[1]+1])
rss = []
random.seed(datetime.now())
for x in range(0,4):
distance = dist(node_pos[x][0], node_pos[x][1], pos)
val =rss0 - 10 * n *
math.log10(distance) + normal_dist[int(pos[0])][int(pos[1])]
rss.append(val-noise*random.random())
return rss
text=[]
overall_rss=[]
original_tragectory=[]
Previous_pos = initial_pos
Stage: III
Finally, we have to simulate the WSN in python through going to the menu and run the module option as mentioned in the following image.
In addition, we have highlighted the acquired results through the simulating the sensor positioning in WSN using python.
If you have any issues while simulating WSN by your own then reach us and acquire the finest guidance.