Developing Low Energy Consumption Software Defined Radio Using Internet Of Things

The advent of the Internet of Things (IoT) could present swarms with unintentional or intentional interference with which they must contend in future energy problems. In light of this, a solution which offers robust and reliable low energy consumption SDR radiometer in spite of the increased electromagnetic spectrum congestion is needed. One promising genetic algorithm (GA) that could form the basis of a potential solution is the Software-Defined Radio (SDR). The core of an SDR's functionality is implemented in MATLAB R2019b software, allowing the system to alter its functionality while it is operating. Further, SDRs enable fully cognitive radios which have an Internet of Things (IoT) back-end to allow them to autonomously react and adapt to their transmission environment with no user interaction. A real-time engine is one that executes while the network is running and periodically updates operating parameters to tune the network's performance to its current environment. The maximum energy voltage recorded at 77.18 volts in maximum time of 4900 seconds recorded through simulation using SDR based radiometer with noisy signals as well as standard deviation. The voltage increased recorded at 276.88 volts however voltage reduction recorded at 17.69 volts in constraint to see the positive effect of SDR based radiometer. Total power output at 0.25W with respect to bandwidth of signals processed for measured and theoretical outputs with 10 MHz. The genetic algorithm used for the initialization of recombination with software defined radiometer simulation for low energy consumption.