Algorithm 2. Agile learning of Bayesian networks for congestion check in wearable system

Initial: Time T= ($T_1,T_2,T_3,\dots ,T_i$)

Ensure: No congestion on Prediction data for $y=\left\{y_1,y_2,y_3,\dots ,y_i\right\}$

While (Logic “1”) for prediction check

If (j<n) then

M (O) =S (D);

//*M (O) = is the memory output layer//*

//*S (D) = Input datasets which are stored//*

S (D) =$y=\left\{y_1,y_2,y_3,\dots ,y_i\right\}$

Return (No_Congestion)

If ($T\le n/m$)

M (O) = D(C)

//*D(C) = Data Congestion//*

Return (Congestion)

Break

M (O) = Return (prediction check)

End if

End if

End While

End begin