def Setting(ip, port):
serverSock = socket(AF_INET, SOCK_STREAM)
print("소켓시작")
serverSock.bind((ip, port))
print("bind")
serverSock.listen(1)
print("listen")
while (1):
connectionSock, addr = serverSock.accept()
print(str(addr), '에서 접속이 확인되었습니다.')
data = connectionSock.recv(1024).decode()
data_2 = Calculate.in_data(data)
data_2 = data_2.split(",")
data_3 = Trilateration.Trilateration(data_2) # 삼변측량알고리즘 적용
return data_3 #위치좌표 X,Y반
#Reading floor plan to use as Background image
img = plt.imread(Layout)
Positions = pd.read_csv(Positions, sep=";")
database = pd.read_csv(testset, sep=";")
testset = pd.read_csv(testset, sep=";")
Anchors = pd.read_csv(Anchors, sep=";")
Limits = pd.read_csv(Limits, sep=";")
Pathloss_model = pd.read_csv(Pathloss_model, sep=";")
fig, ax = plt.subplots()
ax.scatter(list(Anchors['x']), list(Anchors['y']))
if (algorithm == 'Trilateration'):
ax.scatter(list(Positions['x']), list(Positions['y']))
Positions = Trilateration(Positions, Anchors, Pathloss_model)
for i in range(len(list(Positions['x']))):
ax.plot([Positions['x'][i], Positions['x_calc'][i]],
[Positions['y'][i], Positions['y_calc'][i]],
color='r')
ax.scatter(list(Positions['x_calc']), list(Positions['y_calc']))
print(mean(list(Positions['error'])))
elif (algorithm == 'KNN'):
ax.scatter(list(testset['x']), list(testset['y']))
Positions = knn(database, testset, k)
for i in range(len(list(Positions['x']))):
ax.plot([Positions['x'][i], Positions['x_calc'][i]],
[Positions['y'][i], Positions['y_calc'][i]],
color='r')
ax.scatter(list(Positions['x_calc']), list(Positions['y_calc']))
print(mean(list(Positions['error'])))
