Algorithm 1: Algorithm for Collecting Data from IoT Sensors in Smart Cities.

Begin   Input: A= {a1…an}-instance, R- result  // training data For each instance   Initially, the sensor finds a neighbour sensor, NN   p (b, a) = p (b| a) p (a)      $P(b/a)=\frac{p\left(b\right)p(a|b)}{p\left(a\right)}$  //Compute the probability of b given a: The end for // testing data Repeat  For ak ϵ A     Compute p (b, a) = p (b, ak) p (a| b, ak)       $P(b/a)=\frac{p\left(b,a_k\right)p(a|b, a_k)}{p\left(a\right)}$  Get R☐ node NN  Return class value  Update classifier  End for  Until Convergence End.