Multiple Frequency Shift Keying Optimization of Adaptive Data Rate for Ultra-Low Power Wireless Sensor Network

Low-power technology has been a concern in the IoT (Internet of Things). A method of optimizing ADR (Adaptive Data rate) through MFSK (Multiple frequency shift keying) selections is proposed in this paper to save more wireless communication time and transmission power. The proposed method is implemented on the Texas Instruments Sub-1GHz RF (radio frequency) device, CC1310 platform, and the wireless transmission quality and power consumption could be balanced by appropriate M-parameter adjustment. The experimental results in this paper show that the ADR algorithm with MFSK optimization may save more 50% power than traditional ADR when higher M-parameter in a good environment.