Abstract
Power consumption and cost reduction are always two important performance parameters in determining the optimal functioning of wireless sensor networks. This paper proposes a Fletcher–Reeves algorithm to minimize the power and performance cost of a sensor node using an ultra-low power microcontroller MSP430. The computational results have been compared with the Gradient-Descent algorithm, which shows that the Fletcher–Reeves (FR) algorithm outperforms over Gradient-Descent (GD) algorithm and saves the node power significantly. The simulation results are validated through theoretical results. The parameters such as average wait time, service time, operating frequency, optimized voltage, and cost are used as performance measures. It is worth mentioning that obtained results saves power significantly and reduces the performance cost of DVS when compared with the existing literature.
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