Algorithm 1 Smart Management of SpWBAN Operations by the Controller

Input SpWBAN Sensor Configuration Parameters $E_{T-multi},E_{R-multi},E_{T-single},E_{R-single},E_O$ Energy-related parameters initialization $E_{inactive}$ Sensors active time $T_{inactive}and{T}_{active}$

Operations Run operating loops    Check energy levels at Sensors $E_{t,source}$    Generate voltage based on applied forces on nano-enriched piezoelectric materials $V$    Calculate the energy generated from the piezoelectric materials $E_{p,source}$    Adjust the data sending rate $\lambda$ and number of data packets sent $k$    Compute the energy consumption for sending considering the harvested energy and sensor activity    Compute the total energy consumption in SpWBAN $E_{sensor,total}$    Estimate SpWBAN lifetime $T_{lifetime-ext}$    Estimate SpWBAN throughput $Throughput$    Recall SpWBAN from trained datasets and models    Check the energy level generated and consumed at each sensor based on trained models    Update the activity duration of sensors based on the classification of their energy levels

Output SpWBAN sensors configuration    SpWBAN lifetime    SpWBAN throughput