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Logistic loss
Atis Elsts edited this page Oct 1, 2020
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The Logistic Loss radio signal propagation model uses circle centered at the transmitting mode to simulate radio coverage. The main role of Logistic Loss model is to serve as a more realistic replacement for the Unit Disk Graph model.
The signal strength at the receiving node is determined using exponential free-space loss, on which Additive White Gaussian Noise (AWGN) is overlaid. The packet reception probability is modeled using the logistic function from the signal strength.
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LOGLOSS_TRANSMIT_RANGE_M
- The maximum transmission range, in meters. Positive number, default: 200.0. -
LOGLOSS_RX_SENSITIVITY_DBM
- The maximal signal strength in dBm when the PRR is approximately 0%. A number, default: -100. -
LOGLOSS_RSSI_INFLECTION_POINT_DBM
- This is the inflection point of the logistic loss function, i.e. where the second-order derivative becomes negative. It is also the point where 50% of packets with this signal strength are received. A number, default: -96. -
LOGLOSS_PATH_LOSS_EXPONENT
- The value of the path exponent component in the log-distance model. The default value is selected assuming indoors and 2.4 GHz frequency band. A number, default: 3.0. -
AWGN_GAUSSIAN_STD
- The standard deviation of the AWGN distribution, added to the RSSI. Non-negative number, default: 3.0. -
TX_POWER_DBM
- Transmission power in dBm. A number, default: 0.