Table 1.
Comparison between different related works and the proposed model.
Fig 1.
Proposed system model.
Table 2.
Simulation parameters.
Fig 2.
Pearson correlation coefficients of each input parameter (dCB, ,
, SINRth, PI, PC, PD and PV) and the output (dIG, EE and R).
Fig 3.
Proposed deep learning model.
Fig 4.
Training and validation mean absolute error generated during training the proposed model.
Fig 5.
Interference distance (m) vs required distance between IoT-sensors and gateway (dIG).
Fig 6.
IoT-sensors transmission power (PI) (dBm) required distance between IoT-sensors and gateway (dIG) (m).
Fig 7.
IoT-sensors transmission power (PI) (dBm) versus overall system energy efficiency (EE) (bit/J).
Fig 8.
Required signal-to-interference-plus-noise-ratio (SINRth) versus required distance between IoT-sensors and gateway (dIG).
Fig 9.
Required signal-to-interference-plus-noise-ratio (SINRth) versus overall system energy efficiency (EE) (bit/J).
Fig 10.
Required signal-to-interference-plus-noise-ratio (SINRth) versus overall system achievable data rate (R) (bit/s).
Fig 11.
IoT-sensors transmission power (PI) vs overall energy efficiency (EE).