diff options
Diffstat (limited to 'plugins/wireless_area.py')
| -rw-r--r-- | plugins/wireless_area.py | 71 |
1 files changed, 71 insertions, 0 deletions
diff --git a/plugins/wireless_area.py b/plugins/wireless_area.py new file mode 100644 index 0000000..b2e2432 --- /dev/null +++ b/plugins/wireless_area.py @@ -0,0 +1,71 @@ +import math +import numpy as np + +class WirelessArea: + + def __init__(self): + self.nodes=list() + + def dump_nodes(self): + i=0 + for node in self.nodes: + x,y,z,com_range=node + print("Node {} at ({},{},{}) with a communication range of {}m".format(i,x,y,z,com_range)) + i+=1 + + def dump_infos(self): + print("Number of nodes {}".format(len(self.nodes))) + adjacency=self.generate_adjacency_matrix(fill_diagonal=False) + print("Nodes average degree is {}".format(np.mean(np.sum(adjacency,axis=0)))) + x = [node[0] for node in self.nodes] + y = [node[1] for node in self.nodes] + z = [node[2] for node in self.nodes] + com_range = [node[3] for node in self.nodes] + print("Nodes locations ranges: x in [{},{}] y in [{},{}] z in [{},{}]".format(min(x),max(x),min(y),max(y),min(z),max(z))) + print("Node communication ranges in [{},{}]".format(min(com_range),max(com_range))) + + def add_node(self,x,y,z,com_range): + self.nodes.append((x,y,z,com_range)) + + def get_neighbours(self,node_id): + node=self.nodes[node_id] + neighbours=list() + for i in range(0,len(self.nodes)): + if i != node_id: + neighbour=self.nodes[i] + if math.dist(node[0:3],neighbour[0:3]) <= node[3]: + neighbours.append(i) + return neighbours + + def generate_dot(self,filepath): + is_strict=False + com_range=self.nodes[0][3] + for node in self.nodes: + if node[3] != com_range: + is_strict=True + break + + with open(filepath, "w") as f: + if is_strict: + f.write("digraph G {\n") + else: + f.write("strict graph G {\n") + for i in range(0,len(self.nodes)): + neighbours=self.get_neighbours(i) + for n in neighbours: + if is_strict: + f.write("{}->{}\n".format(i,n)) + else: + f.write("{}--{}\n".format(i,n)) + f.write("}") + + def generate_adjacency_matrix(self,fill_diagonal=True): + matrix=np.full((len(self.nodes),len(self.nodes)),0) + if fill_diagonal: + np.fill_diagonal(matrix,1) # Required by ESDS + for i in range(0,len(self.nodes)): + neighbours=self.get_neighbours(i) + for n in neighbours: + matrix[i,n]=1 + return matrix + |
