import random as RD
import networkx as NX
import matplotlib
import math as MT

N=101   # number of vertices (sensors)
minScope = 20
maxScope = 120
rangeX = (5, 295)
rangeY = (5,295)
scopeRad = (minScope, maxScope)

D = NX.DiGraph()

arrScope = [[]]
for i in range(1,N):
    x= float(RD.randrange(*rangeX))
    y= float(RD.randrange(*rangeY))
    positions =(x,y)
    rndRad = RD.randrange(*scopeRad)
    D.add_node(i, pos=(x,y))
    arrScope.append([i,rndRad])
    pos = NX.get_node_attributes(D, 'pos')

for i in range(1,N):
    for j in range(1,N):
        x1, y1 = pos[i]
        x2, y2 = pos[j]
        if i != j:
            if (MT.sqrt(  MT.pow((x2-x1),2)  +  MT.pow((y2-y1),2)  ))<=arrScope[i][1]:
                D.add_edge(i,j)

print(NX.number_of_edges(D))
NX.draw(D, pos, with_labels=True)