Dynamic Voltage and Frequency Scaling and Duty-Cycling for Ultra Low-Power Wireless Sensor Nodes

Energy efficiency presents a significant challenge to the reliability of Internet Things (IoT) services. Wireless Sensor Networks (WSNs) present as an elementary technology IoT, which has limited resources. Appropriate energy management techniques can perform increasing under variable workload conditions. Therefore, this paper aims experimentally implement hybrid solution, combining Dynamic Voltage and Frequency Scaling (DVFS) Duty-Cycling. The DVFS technique is implemented effective power scheme optimize operating conditions during data processing. Moreover, duty-cycling method applied reduce consumption transceiver. Hardware optimization performed by selecting low-power microcontroller, MSP430, using experimental estimation characterization. Another contribution evaluating energy-saving design defining normalized metric measure consumed proposed model per throughput. Extensive simulations real-world implementations indicate that be significantly reduced while sustaining performance levels in high-data IoT use cases.